Triple

T21716062
Position Surface form Disambiguated ID Type / Status
Subject The Long Arm E536030 entity
Predicate cinematographyBy P1953 FINISHED
Object Gordon Dines 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: Gordon Dines | Statement: [The Long Arm, cinematographyBy, Gordon Dines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Dines
Context triple: [The Long Arm, cinematographyBy, Gordon Dines]
  • A. Gordon Dines chosen
    Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
  • B. Donald Gordon
    Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
  • C. Donald Gordon
    Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
  • D. Gordon Wiles
    Gordon Wiles was an American film director and art director known for his work on early 20th-century crime and genre films.
  • E. Dennis FitzSimons
    Dennis FitzSimons is an American media executive best known for serving as chairman and CEO of the Tribune Company.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.