Triple

T8766888
Position Surface form Disambiguated ID Type / Status
Subject Wonderland (2003 film) E208359 entity
Predicate mainCharacter P1183 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: [Wonderland (2003 film), mainCharacter, John Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Holmes
Context triple: [Wonderland (2003 film), mainCharacter, 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. William Holmes
    William Holmes was a film editor best known for his Academy Award-winning work on the 1941 biographical war film "Sergeant York."
  • E. Gary Starkweather
    Gary Starkweather was an American engineer and inventor best known for creating the laser printer while working at Xerox.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eeae70c8190adc2bc2846da0fbf completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab596ef88190b538d15b0d71e176 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:41 p.m.