Triple

T20389322
Position Surface form Disambiguated ID Type / Status
Subject A Good Day to Die Hard E498043 entity
Predicate screenwriter P2831 FINISHED
Object Skip Woods NE NERFINISHED

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: Skip Woods | Statement: [A Good Day to Die Hard, screenwriter, Skip Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skip Woods
Context triple: [A Good Day to Die Hard, screenwriter, Skip Woods]
  • A. Skip Woods chosen
    Skip Woods is an American screenwriter and film producer known for writing action films such as "Swordfish," "Hitman," and "A Good Day to Die Hard."
  • B. Red Mitchell
    Red Mitchell was an influential American jazz double bassist, composer, and bandleader known for his lyrical playing style and innovative tuning approach.
  • C. Red Mitchell
    Red Mitchell is an American actor known for his role in the rodeo-themed drama film "8 Seconds."
  • D. Carl Stockdale
    Carl Stockdale was an American character actor of the silent and early sound film era, known for his prolific work in Westerns and early Hollywood productions.
  • E. Ron Duguay
    Ron Duguay is a former Canadian professional ice hockey forward best known for his NHL career with the New York Rangers and his distinctive long-haired look in the late 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.