Triple

T9565397
Position Surface form Disambiguated ID Type / Status
Subject Dear John E230776 entity
Predicate cinematographyBy P1953 FINISHED
Object Terry Stacey E152564 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: Terry Stacey | Statement: [Dear John, cinematographyBy, Terry Stacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Stacey
Context triple: [Dear John, cinematographyBy, Terry Stacey]
  • A. Terry Stacey chosen
    Terry Stacey is a British cinematographer known for his work on feature films such as "Just Wright" and other mainstream and independent movies.
  • B. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • C. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • D. Terry Molloy
    Terry Molloy is a British actor best known for playing the villainous Davros in the long-running science fiction series Doctor Who.
  • E. Terry Manning
    Terry Manning is an American record producer, audio engineer, and musician known for his influential work with artists across rock, soul, and pop music since the 1960s.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.