Triple

T11299736
Position Surface form Disambiguated ID Type / Status
Subject Hair (1979 film) E267551 entity
Predicate starredActor P5563 FINISHED
Object John Savage E226094 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: John Savage | Statement: [Hair (1979 film), starredActor, John Savage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Savage
Context triple: [Hair (1979 film), starredActor, John Savage]
  • A. John Savage chosen
    John Savage is an American actor best known for his intense, emotionally charged performances in films of the 1970s and 1980s, including major roles in acclaimed war dramas.
  • B. John Savage
    John Savage was an individual significant enough in local or regional history that the community of Savage, Maryland, was named in his honor.
  • C. Joseph Silk
    Joseph Silk is a prominent British astrophysicist and cosmologist known for his influential work on the early universe, cosmic microwave background radiation, and galaxy formation.
  • D. John Bellamy
    John Bellamy was a 17th-century London printer and bookseller known for publishing early accounts of New England, including works related to the Pilgrims.
  • E. Alan Quinton
    Alan Quinton is the central male protagonist in the film "Love Letters," whose written correspondence drives the romantic and dramatic core of the story.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a3616c8190a8fd23ca67463806 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.