Triple

T1387917

Position	Surface form	Disambiguated ID	Type / Status
Subject	Académie des Sciences Morales et Politiques	`E29887`	entity
Predicate	hasAward	`P219`	FINISHED
Object	Prix de la Fondation Émile Faguet de littérature The Prix de la Fondation Émile Faguet de littérature is a French literary prize awarded by the Académie des Sciences Morales et Politiques to honor distinguished contributions to literature.	`E162620`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Prix de la Fondation Émile Faguet de littérature | Statement: [Académie des Sciences Morales et Politiques, hasAward, Prix de la Fondation Émile Faguet de littérature]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Prix de la Fondation Émile Faguet de littérature
Context triple: [Académie des Sciences Morales et Politiques, hasAward, Prix de la Fondation Émile Faguet de littérature]

A. Prix Louis Marin
The Prix Louis Marin is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the fields of moral and political sciences.
B. Prix Médicis
The Prix Médicis is a prestigious French literary award established in 1958 that honors innovative and unconventional works of fiction, often spotlighting emerging or overlooked authors.
C. Prix Goncourt
The Prix Goncourt is France’s most prestigious literary prize, awarded annually to an author of outstanding prose fiction in the French language.
D. Prix Charles-Olivier de Penanster
The Prix Charles-Olivier de Penanster is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the moral and political sciences.
E. Prix de l’Académie des Sciences Morales et Politiques
The Prix de l’Académie des Sciences Morales et Politiques is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize outstanding contributions in the fields of moral and political sciences.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Prix de la Fondation Émile Faguet de littérature
Triple: [Académie des Sciences Morales et Politiques, hasAward, Prix de la Fondation Émile Faguet de littérature]

Generated description

The Prix de la Fondation Émile Faguet de littérature is a French literary prize awarded by the Académie des Sciences Morales et Politiques to honor distinguished contributions to literature.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Prix de la Fondation Émile Faguet de littérature
Target entity description: The Prix de la Fondation Émile Faguet de littérature is a French literary prize awarded by the Académie des Sciences Morales et Politiques to honor distinguished contributions to literature.

A. Prix Louis Marin
The Prix Louis Marin is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the fields of moral and political sciences.
B. Prix Médicis
The Prix Médicis is a prestigious French literary award established in 1958 that honors innovative and unconventional works of fiction, often spotlighting emerging or overlooked authors.
C. Prix Goncourt
The Prix Goncourt is France’s most prestigious literary prize, awarded annually to an author of outstanding prose fiction in the French language.
D. Prix Charles-Olivier de Penanster
The Prix Charles-Olivier de Penanster is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the moral and political sciences.
E. Prix de l’Académie des Sciences Morales et Politiques
The Prix de l’Académie des Sciences Morales et Politiques is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize outstanding contributions in the fields of moral and political sciences.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69a498dc92f8819094a1108f8ac90f43`	completed	March 1, 2026, 7:51 p.m.
NER	Named-entity recognition	`batch_69a4c35ad578819090abf96222112bda`	completed	March 1, 2026, 10:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ace56bf6c48190839a9d01c935e4bf`	completed	March 8, 2026, 2:56 a.m.
NEDg	Description generation	`batch_69ace5fb515081908acadef0303b8f6e`	completed	March 8, 2026, 2:59 a.m.
NED2	Entity disambiguation (via description)	`batch_69ace9ba4b3481908d03636d8f72d04c`	completed	March 8, 2026, 3:15 a.m.

Created at: March 1, 2026, 7:59 p.m.