Triple

T3378020
Position Surface form Disambiguated ID Type / Status
Subject Barry Letts E71112 entity
Predicate workedWith P398 FINISHED
Object Terrance Dicks E71111 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: Terrance Dicks | Statement: [Barry Letts, workedWith, Terrance Dicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrance Dicks
Context triple: [Barry Letts, workedWith, Terrance Dicks]
  • A. Terrance Dicks chosen
    Terrance Dicks was a British television writer and script editor best known for his extensive work on Doctor Who and his influential contributions to the series’ mythology.
  • B. Brian MacDevitt
    Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
  • C. Mark Fergus
    Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
  • D. Jack Thorne
    Jack Thorne is a British playwright and screenwriter known for works such as the stage play "Harry Potter and the Cursed Child" and numerous acclaimed film and television scripts.
  • E. William Monahan
    William Monahan is an American screenwriter best known for his Oscar-winning screenplay for the crime drama film "The Departed."
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc17dd881908fc5fb0d4a23f40f completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:13 p.m.