Triple

T4193662
Position Surface form Disambiguated ID Type / Status
Subject Cours de philosophie positive E89092 entity
Predicate publisher P29 FINISHED
Object Bachelier
Bachelier was a prominent 19th-century French publishing house known for issuing influential scientific and philosophical works.
 E420083 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: Bachelier | Statement: [Cours de philosophie positive, publisher, Bachelier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bachelier
Context triple: [Cours de philosophie positive, publisher, Bachelier]
  • A. La Bourse
    La Bourse is a short story by Honoré de Balzac that portrays the social and emotional intrigues surrounding a modest painter and a mysterious mother-daughter pair in Parisian society.
  • B. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • C. Ben-Veniste
    Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
  • D. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Blanchard
    Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
  • 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: Bachelier
Triple: [Cours de philosophie positive, publisher, Bachelier]
Generated description
Bachelier was a prominent 19th-century French publishing house known for issuing influential scientific and philosophical works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bachelier
Target entity description: Bachelier was a prominent 19th-century French publishing house known for issuing influential scientific and philosophical works.
  • A. La Bourse
    La Bourse is a short story by Honoré de Balzac that portrays the social and emotional intrigues surrounding a modest painter and a mysterious mother-daughter pair in Parisian society.
  • B. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • C. Ben-Veniste
    Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
  • D. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Blanchard
    Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e0446d48190a1fd54bcc72af026 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e8d57cc8190a823a7cf3a3f0cdf completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:46 p.m.