Triple

T18140299
Position Surface form Disambiguated ID Type / Status
Subject Yvan Attal E434242 entity
Predicate givenName P17 FINISHED
Object Yvan
Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
 E1307389 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: Yvan | Statement: [Yvan Attal, givenName, Yvan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yvan
Context triple: [Yvan Attal, givenName, Yvan]
  • A. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Yannick
    Yannick is a masculine given name of Breton origin, commonly used in French-speaking regions and borne by figures such as conductor Yannick Nézet-Séguin.
  • D. Sylvain
    Sylvain is a masculine given name of French origin commonly used in Francophone countries.
  • E. Yves
    Yves is a masculine given name of French origin commonly used in Francophone countries.
  • 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: Yvan
Triple: [Yvan Attal, givenName, Yvan]
Generated description
Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yvan
Target entity description: Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
  • A. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Yannick
    Yannick is a masculine given name of Breton origin, commonly used in French-speaking regions and borne by figures such as conductor Yannick Nézet-Séguin.
  • D. Sylvain
    Sylvain is a masculine given name of French origin commonly used in Francophone countries.
  • E. Yves
    Yves is a masculine given name of French origin commonly used in Francophone countries.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03855061b88190a9fcda2743dec41a completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a03861898948190b3ada048d9ea274c completed May 12, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0386bb53b88190b5cc7e747a9da903 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.