Triple

T11947192
Position Surface form Disambiguated ID Type / Status
Subject Alain E284329 entity
Predicate hasNotableBearer P458 FINISHED
Object Alain Delon E235453 NE FINISHED

How this triple was built (2 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: Alain Delon | Statement: [Alain, hasNotableBearer, Alain Delon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alain Delon
Context triple: [Alain, hasNotableBearer, Alain Delon]
  • A. Alain Delon chosen
    Alain Delon is a renowned French actor and cultural icon, celebrated for his roles in classic European cinema and his charismatic, brooding screen presence.
  • B. Anthony Delon
    Anthony Delon is a French-American actor and the son of iconic French film star Alain Delon, known for his roles in European cinema and television.
  • C. Alain-Fabien Delon
    Alain-Fabien Delon is a French model and actor, known both for his fashion work and for being the son of legendary film star Alain Delon.
  • D. Jean-Paul Belmondo
    Jean-Paul Belmondo was a charismatic French actor and icon of the French New Wave, renowned for his rebellious screen presence and influential roles in 1960s cinema.
  • E. Jean-Pierre Aumont
    Jean-Pierre Aumont was a French stage and film actor known for his romantic leading roles in European and Hollywood cinema from the 1930s through the 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.