Triple

T4216878
Position Surface form Disambiguated ID Type / Status
Subject Danny Thomas E94239 entity
Predicate child P120 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: [Danny Thomas, child, Tony Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Thomas
Context triple: [Danny Thomas, child, 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. 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.
  • E. 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.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34beb470481909ceff19195417f19 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a855cfc08190acceced9cb80f41a completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:04 p.m.