Triple

T7775598
Position Surface form Disambiguated ID Type / Status
Subject The Big Heat E221381 entity
Predicate starring P1507 FINISHED
Object Peter Whitney E319658 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: Peter Whitney | Statement: [The Big Heat, starring, Peter Whitney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Whitney
Context triple: [The Big Heat, starring, Peter Whitney]
  • A. Peter Whitney chosen
    Peter Whitney was an American character actor known for his burly physique and frequent roles as villains or tough guys in film and television from the 1940s through the 1970s.
  • B. Robert Whitworth
    Robert Whitworth was an 18th-century British civil engineer known for his work on major canal projects during the early development of the UK’s inland waterway network.
  • C. John Watts
    John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
  • D. John Whiteaker
    John Whiteaker was an American politician who became the first governor of the U.S. state of Oregon after it achieved statehood.
  • E. Philip Nye
    Philip Nye was a prominent 17th-century English Independent minister and theologian influential in the religious and political upheavals of the English Civil War era.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf58a86548190b870417692e4b654 completed March 30, 2026, 10:13 p.m.
Created at: March 30, 2026, 3:46 p.m.