Triple

T16952087
Position Surface form Disambiguated ID Type / Status
Subject Mac Diarmada E411205 entity
Predicate anglicisedForm P87582 FINISHED
Object MacDermott E411204 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: MacDermott | Statement: [Mac Diarmada, anglicisedForm, MacDermott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacDermott
Context triple: [Mac Diarmada, anglicisedForm, MacDermott]
  • A. MacDermott chosen
    MacDermott is a surname, typically of Irish origin, that serves as a spelling variant of McDermott.
  • B. McDermott
    McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
  • C. MacDowell
    MacDowell is a renowned artist residency program in Peterborough, New Hampshire, that provides creators with time and space to work on their art.
  • D. MacKendrick
    MacKendrick is a surname of Scottish origin, likely a variant of the name Henderson.
  • E. McTiernan
    McTiernan is a surname most notably associated with American film director John McTiernan, known for action classics like "Die Hard" and "Predator."
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0197f308190af7185fc9cc7a6e9 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.