Triple

T17017987
Position Surface form Disambiguated ID Type / Status
Subject The International E412870 entity
Predicate producer P490 FINISHED
Object Richard Suckle E302399 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: Richard Suckle | Statement: [The International, producer, Richard Suckle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Suckle
Context triple: [The International, producer, Richard Suckle]
  • A. Richard Suckle chosen
    Richard Suckle is an American film producer known for his work on major studio projects, including the DC superhero film "Wonder Woman" (2017).
  • B. Richard Lestock
    Richard Lestock was an 18th-century British Royal Navy admiral best known for his controversial role in the War of the Austrian Succession and the ensuing court-martial over his conduct in battle.
  • C. Richard Kettleborough
    Richard Kettleborough is an English former first-class cricketer who became an elite international cricket umpire, regularly officiating major ICC tournaments and high-profile matches.
  • D. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • E. Robert Hutton
    Robert Hutton was an American film and television actor active from the 1940s through the 1970s, known for his roles in war dramas, science fiction, and comedies.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3489848190869bebedcb5c0564 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:33 a.m.