Triple

T17293722
Position Surface form Disambiguated ID Type / Status
Subject Reminiscence E419851 entity
Predicate cinematography P1953 FINISHED
Object Paul Cameron 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: Paul Cameron | Statement: [Reminiscence, cinematography, Paul Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cameron
Context triple: [Reminiscence, cinematography, Paul Cameron]
  • A. Paul Cameron chosen
    Paul Cameron is an American cinematographer known for his stylish, high-energy visual work on films such as Gone in 60 Seconds, Collateral, and Man on Fire.
  • B. Ian O. Cameron
    Ian O. Cameron is a Canadian-born television producer known for his long career at ABC News and for being married to former U.S. National Security Advisor Susan Rice.
  • C. Philip Giffin
    Philip Giffin is a film and television composer known for his work on the series "Boomtown."
  • D. Peter Campbell
    Peter Campbell is a central comedic character from the satirical TV sitcom "Soap," known for his eccentric personality and complex personal life within the Tate family.
  • E. W. Bruce Cameron
    W. Bruce Cameron is an American author best known for his heartwarming, dog-centered novels that explore the bonds between humans and their pets, including the bestselling book "A Dog’s Purpose."
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43785383881908ec61ddf5e2193cf completed April 19, 2026, 2:01 a.m.
Created at: April 10, 2026, 5:40 a.m.