Triple

T35223544

Position	Surface form	Disambiguated ID	Type / Status
Subject	Marquis des Baux	`E1017024`	entity
Predicate	feminineEquivalent	`P158000`	FINISHED
Object	Marquise des Baux Marquise des Baux is the noble title traditionally held by the wife or female counterpart of the Marquis des Baux, associated with the historic lordship of Les Baux in Provence, France.	`E2130676`	NE FINISHED

How this triple was built (3 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: Marquise des Baux | Statement: [Marquis des Baux, feminineEquivalent, Marquise des Baux]

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: Marquise des Baux
Triple: [Marquis des Baux, feminineEquivalent, Marquise des Baux]

Generated description

Marquise des Baux is the noble title traditionally held by the wife or female counterpart of the Marquis des Baux, associated with the historic lordship of Les Baux in Provence, France.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: feminineEquivalent
Context triple: [Marquis des Baux, feminineEquivalent, Marquise des Baux]

A. hasFemaleEquivalent
Indicates that one entity serves as the female counterpart or equivalent of another entity.
B. femaleCounterpartOf chosen
Indicates that one entity is the female equivalent or corresponding counterpart of another entity within a given role, relationship, or category.
C. maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
D. hasFemaleFormOf
Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
E. hasFeminineFormInSomeLanguages
Indicates that the referenced entity has a distinct feminine grammatical or lexical form in at least one language.
F. None of above.

Provenance (6 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_69f76de072908190ab65038a8a7b6a79`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f78f63c8788190b253a18de5ca1312`	completed	May 3, 2026, 6:09 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3804156c308190b95cb35fbe967731`	completed	June 21, 2026, 3:32 p.m.
NEDg	Description generation	`batch_6a3804c6a8788190ac07c698d78a290d`	completed	June 21, 2026, 3:35 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38057811848190a12d3e760db65b2d`	completed	June 21, 2026, 3:38 p.m.
PD	Predicate disambiguation	`batch_69f78e2d71248190b850c2802ec170c0`	completed	May 3, 2026, 6:04 p.m.

Created at: May 3, 2026, 4:02 p.m.