Triple

T3698989
Position Surface form Disambiguated ID Type / Status
Subject Tideland E78527 entity
Predicate producer P490 FINISHED
Object Jeremy Thomas E161297 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: Jeremy Thomas | Statement: [Tideland, producer, Jeremy Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Thomas
Context triple: [Tideland, producer, Jeremy Thomas]
  • A. Jeremy Thomas chosen
    Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
  • B. Dean Thomas
    Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
  • C. John Thomas
    John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
  • D. Tony Thomas
    Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
  • E. Brent Thomas
    Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc513d26c8190bfdf25f62af8c6ca completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3df86bc819088db92eecee69fd3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.