Triple

T9345268
Position Surface form Disambiguated ID Type / Status
Subject Dermot Crowley E224872 entity
Predicate name P16 FINISHED
Object Dermot Crowley E224872 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: Dermot Crowley | Statement: [Dermot Crowley, name, Dermot Crowley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dermot Crowley
Context triple: [Dermot Crowley, name, Dermot Crowley]
  • A. Dermot Crowley chosen
    Dermot Crowley is an Irish actor best known for his role as DSU Martin Schenk in the British crime drama series "Luther."
  • B. Dermot McDermott
    Dermot McDermott is an individual notable enough to be recognized as a bearer of the surname McDermott, though specific widely known public details about him are not clearly established.
  • C. Seamus Dever
    Seamus Dever is an American actor best known for playing Detective Kevin Ryan on the television series "Castle."
  • D. Seamus Tierney
    Seamus Tierney is a cinematographer known for his work on the film "Love, Antosha."
  • E. Seán Garland
    Seán Garland was an Irish republican activist and longtime leader within the Workers' Party, known for his role in left-wing politics and alleged involvement in international counterfeiting operations.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078635648190ac908fd6bd7228b0 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:41 p.m.