Triple

T6960050
Position Surface form Disambiguated ID Type / Status
Subject Johnny Knoxville E161345 entity
Predicate workedWith P398 FINISHED
Object Jeff Tremaine E492637 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: Jeff Tremaine | Statement: [Johnny Knoxville, workedWith, Jeff Tremaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Tremaine
Context triple: [Johnny Knoxville, workedWith, Jeff Tremaine]
  • A. Jeff Tremaine chosen
    Jeff Tremaine is an American film and television producer and director best known for co-creating and directing the stunt and prank franchise "Jackass."
  • B. Henry Jackman
    Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
  • C. Tod Stiles
    Tod Stiles is the adventurous young drifter and central character of the 1960s American television series "Route 66."
  • D. Tom Taylor
    Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
  • E. Rob Perez
    Rob Perez is a screenwriter best known for co-writing the romantic comedy film "40 Days and 40 Nights."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589892888190bf240bdbf107efcc completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:29 p.m.