Triple

T6910045
Position Surface form Disambiguated ID Type / Status
Subject Tor Books E159906 entity
Predicate foundedBy P104 FINISHED
Object Tom Doherty E335519 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: Tom Doherty | Statement: [Tor Books, foundedBy, Tom Doherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Doherty
Context triple: [Tor Books, foundedBy, Tom Doherty]
  • A. Tom Doherty chosen
    Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
  • B. Patrick Doherty
    Patrick Doherty was one of the unarmed civil rights marchers shot and killed by British soldiers during the Bloody Sunday massacre in Derry, Northern Ireland, in 1972.
  • C. John Doherty
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • D. Stephen McDermott
    Stephen McDermott is an Irish Gaelic footballer known for playing at inter-county level for Donegal.
  • E. Brian McDermott
    Brian McDermott is a former professional rugby league player and highly successful English rugby league coach, best known for his trophy-laden tenure with the Leeds Rhinos.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c00e948190b103a2b2a2738bb1 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7584fa7208190a0c5338e20518578 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:25 p.m.