Triple

T16091506
Position Surface form Disambiguated ID Type / Status
Subject In the Land of Women E390368 entity
Predicate cinematographyBy P1953 FINISHED
Object Paul Cameron E254606 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: Paul Cameron | Statement: [In the Land of Women, cinematographyBy, Paul Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cameron
Context triple: [In the Land of Women, cinematographyBy, 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. 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."
  • E. Paul Roberts
    Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858d1264819099434d7201614d05 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29da7008190aebeb35113e726ef completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:59 a.m.