Triple

T6101510
Position Surface form Disambiguated ID Type / Status
Subject Nurses (U.S. TV series) E136007 entity
Predicate executiveProducer P7225 FINISHED
Object Tony Thomas E177164 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: Tony Thomas | Statement: [Nurses (U.S. TV series), executiveProducer, Tony Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Thomas
Context triple: [Nurses (U.S. TV series), executiveProducer, Tony Thomas]
  • A. Tony Thomas chosen
    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."
  • 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. Billy Thomas
    Billy Thomas is a central character on the television series "Ally McBeal," known as Ally's former childhood sweetheart and colleague whose complicated relationship with her drives much of the show's emotional drama.
  • D. Billy Thomas
    Billy Thomas is an American stock car racing driver best known for his involvement with the famed Alabama Gang of NASCAR competitors.
  • E. Jeremy Thomas
    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.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3aa9908190865be98ada141d37 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1359334c081909653603633ba9c06 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:13 p.m.