Triple

T3321667
Position Surface form Disambiguated ID Type / Status
Subject The Bounty E69807 entity
Predicate hasCastMember P2308 FINISHED
Object Mel Gibson E119806 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: Mel Gibson | Statement: [The Bounty, hasCastMember, Mel Gibson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Gibson
Context triple: [The Bounty, hasCastMember, Mel Gibson]
  • A. Mel Gibson chosen
    Mel Gibson is an American-born Australian actor and filmmaker best known for starring in the "Mad Max" and "Lethal Weapon" series and directing the Academy Award–winning film "Braveheart."
  • B. Russell Crowe
    Russell Crowe is an Academy Award–winning New Zealand–born actor renowned for intense, transformative performances in films such as Gladiator and A Beautiful Mind.
  • C. Mickey Rourke
    Mickey Rourke is an American actor and former boxer known for his intense, brooding performances in films such as "The Wrestler," "9½ Weeks," and "Angel Heart."
  • D. Michael Clarke Duncan
    Michael Clarke Duncan was an American actor best known for his Oscar-nominated performance as the gentle giant John Coffey in the film "The Green Mile."
  • E. Charles Bronson
    Charles Bronson was an American film actor best known for his tough-guy roles in action and Western movies, including the "Death Wish" series.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13d13a88190828d9a03fd0865ce completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3250c720c81908a8a6fed9a6fd349 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.