Triple

T18140300
Position Surface form Disambiguated ID Type / Status
Subject Yvan Attal E434242 entity
Predicate familyName P18 FINISHED
Object Attal
Attal is a French actor, director, and screenwriter known for his work in both French cinema and international films.
 E1307533 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: Attal | Statement: [Yvan Attal, familyName, Attal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Attal
Context triple: [Yvan Attal, familyName, Attal]
  • A. Attalens
    Attalens is a municipality in the canton of Fribourg in western Switzerland, located in the Veveyse district near the Riviera region of Lake Geneva.
  • B. Atakum
    Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
  • C. Atakta
    Atakta is a significant scholarly work by Greek intellectual Adamantios Korais, reflecting his efforts to reform and standardize the modern Greek language during the Enlightenment era.
  • D. Daggubati
    Daggubati is an Indian family name notably associated with a prominent film-producing and acting dynasty in the Telugu cinema industry.
  • E. Atakad
    Atakad are a subgroup of the Atyap people, an ethnic community indigenous to southern Kaduna State in Nigeria.
  • 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: Attal
Triple: [Yvan Attal, familyName, Attal]
Generated description
Attal is a French actor, director, and screenwriter known for his work in both French cinema and international films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Attal
Target entity description: Attal is a French actor, director, and screenwriter known for his work in both French cinema and international films.
  • A. Attalens
    Attalens is a municipality in the canton of Fribourg in western Switzerland, located in the Veveyse district near the Riviera region of Lake Geneva.
  • B. Atakum
    Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
  • C. Atakta
    Atakta is a significant scholarly work by Greek intellectual Adamantios Korais, reflecting his efforts to reform and standardize the modern Greek language during the Enlightenment era.
  • D. Daggubati
    Daggubati is an Indian family name notably associated with a prominent film-producing and acting dynasty in the Telugu cinema industry.
  • E. Atakad
    Atakad are a subgroup of the Atyap people, an ethnic community indigenous to southern Kaduna State in Nigeria.
  • 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_6a0386b90e308190807af4d407840985 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.