Triple

T2791241
Position Surface form Disambiguated ID Type / Status
Subject Hôtel des Invalides E61932 entity
Predicate architect P184 FINISHED
Object Libéral Bruant E60482 NE FINISHED

How this triple was built (2 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: Libéral Bruant | Statement: [Hôtel des Invalides, architect, Libéral Bruant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libéral Bruant
Context triple: [Hôtel des Invalides, architect, Libéral Bruant]
  • A. Libéral Bruant chosen
    Libéral Bruant was a 17th-century French architect best known for his influential Baroque designs in Paris, particularly major royal and military buildings.
  • B. Vieillot
    Vieillot is the surname of Louis Pierre Vieillot, a French ornithologist known for his pioneering work in the classification and description of birds.
  • C. The Bloc
    The Bloc is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • D. Carduel
    Carduel is a legendary royal city in Arthurian romance literature, often depicted as one of the principal seats of King Arthur’s court.
  • E. Vogel
    Vogel is a German-origin surname borne by numerous individuals, including figures in sports, arts, science, and public life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddcfe19c81908f94dd449f18a2c2 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65c1f848190b6efeefb64a3e131 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.