Triple

T17126110
Position Surface form Disambiguated ID Type / Status
Subject Laurie Holmes E415599 entity
Predicate spouse P13 FINISHED
Object John Holmes E347996 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: John Holmes | Statement: [Laurie Holmes, spouse, John Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Holmes
Context triple: [Laurie Holmes, spouse, John Holmes]
  • A. John Holmes
    John Holmes was a famous American adult film actor of the 1970s and early 1980s, widely known for his prolific career and distinctive physical attributes.
  • B. John Holmes chosen
    John Holmes was an American poet and influential creative writing teacher known for mentoring notable poets, including Anne Sexton, at Tufts University.
  • C. Gabriel Harris
    Gabriel Harris is an American percussionist and musician best known for his work with his mother, folk singer and activist Joan Baez, as well as other world and folk music artists.
  • D. Michael Bates
    Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
  • E. William Holmes
    William Holmes was a film editor best known for his Academy Award-winning work on the 1941 biographical war film "Sergeant York."
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a145e7481909242aab69baeb7a0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.