Triple

T2892241
Position Surface form Disambiguated ID Type / Status
Subject Edward Zwick E63853 entity
Predicate directorOf P537 FINISHED
Object Jack Reacher: Never Go Back E244885 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: Jack Reacher: Never Go Back | Statement: [Edward Zwick, directorOf, Jack Reacher: Never Go Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Reacher: Never Go Back
Context triple: [Edward Zwick, directorOf, Jack Reacher: Never Go Back]
  • A. Jack Reacher: Never Go Back chosen
    Jack Reacher: Never Go Back is a 2016 action thriller film starring Tom Cruise as ex-military investigator Jack Reacher, based on Lee Child’s novel of the same name.
  • B. Jack Ryan: Shadow Recruit
    Jack Ryan: Shadow Recruit is a 2014 action thriller film that reboots Tom Clancy’s CIA analyst character in a modern espionage setting.
  • C. The Great Raid
    The Great Raid is a 2005 World War II film dramatizing the rescue of Allied prisoners of war from a Japanese camp in the Philippines.
  • D. The Gray Man
    The Gray Man is a 2022 American action thriller film directed by Anthony and Joe Russo, starring Ryan Gosling and Chris Evans in a globe-trotting espionage story based on Mark Greaney’s novel.
  • E. Quantico
    Quantico is a small town in Prince William County, Virginia, best known for hosting the Marine Corps Base Quantico and several major U.S. federal law enforcement training facilities.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe060f49c8190bc804614a141c738 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f88608819087f258286b2e9e66 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:07 p.m.