Triple

T2120318
Position Surface form Disambiguated ID Type / Status
Subject Once a Thief E43904 entity
Predicate hasCastMember P2308 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: [Once a Thief, hasCastMember, Alain Delon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alain Delon
Context triple: [Once a Thief, hasCastMember, 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. Belmondo
    Belmondo is an Italian surname notably borne by Olympic champion cross-country skier Stefania Belmondo.
  • C. Peter O'Toole
    Peter O'Toole was an acclaimed Irish-English actor renowned for his charismatic screen presence and multiple Academy Award–nominated performances across film, stage, and television.
  • D. Franco Nero
    Franco Nero is an Italian actor best known for his iconic role as the original Django in the 1966 spaghetti western and for a long, varied international film career.
  • E. Gérard Depardieu
    Gérard Depardieu is a renowned French actor celebrated for his prolific film career and status as one of France’s most prominent cinematic figures.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3404348190bc843022fbd2b4d0 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5197259c8190bffbbb4abaaddfd0 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.