Triple

T9164917
Position Surface form Disambiguated ID Type / Status
Subject Anatole Mallarmé E219927 entity
Predicate givenName P17 FINISHED
Object Anatole
Anatole is a masculine given name of Greek origin, commonly used in French-speaking countries.
 E217999 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: Anatole | Statement: [Anatole Mallarmé, givenName, Anatole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anatole
Context triple: [Anatole Mallarmé, givenName, Anatole]
  • A. Anatole
    Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
  • B. Anatole Lapine
    Anatole Lapine was a Latvian-born automotive designer best known as Porsche’s longtime head of design, where he led the styling of models such as the 928.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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: Anatole
Triple: [Anatole Mallarmé, givenName, Anatole]
Generated description
Anatole is a masculine given name of Greek origin, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anatole
Target entity description: Anatole is a masculine given name of Greek origin, commonly used in French-speaking countries.
  • A. Anatole chosen
    Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
  • B. Anatole Lapine
    Anatole Lapine was a Latvian-born automotive designer best known as Porsche’s longtime head of design, where he led the styling of models such as the 928.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • F. None of above.

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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ee64c8190a9a5abafe5d0b086 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07768fcd48190b7d4181e57f49753 completed April 4, 2026, 2:28 a.m.
NEDg Description generation batch_69d07ba6ca3881909aa43516a3ac0272 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c04ab98819092a2d515c7b1baaa completed April 4, 2026, 2:48 a.m.
Created at: March 30, 2026, 7:22 p.m.