Triple

T10463316
Position Surface form Disambiguated ID Type / Status
Subject Educating Rita E246729 entity
Predicate editor P1954 FINISHED
Object Garth Craven E550529 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: Garth Craven | Statement: [Educating Rita, editor, Garth Craven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garth Craven
Context triple: [Educating Rita, editor, Garth Craven]
  • A. Garth Craven chosen
    Garth Craven is a film editor known for his work on major Hollywood productions, including the comedy sequel "Miss Congeniality 2: Armed and Fabulous."
  • B. Anthony Moore
    Anthony Moore is a lesser-known sibling of Annie Moore, the first immigrant processed at Ellis Island in the United States.
  • C. Jerry Dixon
    Jerry Dixon is an American theater director, actor, and singer known for his work on and off Broadway and his long-term partnership with comedian and actor Mario Cantone.
  • D. Conrad Kain
    Conrad Kain was an Austrian mountain guide and pioneering alpinist renowned for numerous first ascents in the Canadian Rockies and beyond.
  • E. Brian Lumley
    Brian Lumley is a British horror and dark fantasy author best known for his Necroscope series and for significantly expanding H. P. Lovecraft’s Cthulhu Mythos with his own mythos fiction.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50885e220819089e455b646f31e65 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933b40ff8819097e994a496228b7d completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:19 p.m.