Triple

T12087499
Position Surface form Disambiguated ID Type / Status
Subject Timothy Olyphant E287844 entity
Predicate notableWork P4 FINISHED
Object Hitman E963218 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: Hitman | Statement: [Timothy Olyphant, notableWork, Hitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitman
Context triple: [Timothy Olyphant, notableWork, Hitman]
  • A. Hitman
    Hitman is a 1998 Filipino action film starring Cesar Montano as a professional assassin entangled in crime and moral conflict.
  • B. Hitman chosen
    Hitman is a 2007 action film adaptation of the video game series, featuring a genetically engineered assassin known as Agent 47.
  • C. The Hitman
    The Hitman is the ring nickname of Thomas Hearns, the legendary American professional boxer known for his devastating punching power and multiple world titles across different weight classes.
  • D. Hitman: Agent 47
    Hitman: Agent 47 is a 2015 action film adaptation of the Hitman video game series, centered on a genetically engineered assassin known only by his barcode tattoo and codename, Agent 47.
  • E. The Hitman’s Bodyguard
    The Hitman’s Bodyguard is a 2017 action-comedy film starring Ryan Reynolds and Samuel L. Jackson, known for its blend of high-octane stunts and irreverent humor.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6d74888190aab150f1ceb2e9f1 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.