Triple

T12280647
Position Surface form Disambiguated ID Type / Status
Subject Michael Durkan E292707 entity
Predicate name P16 FINISHED
Object Michael Durkan E292707 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: Michael Durkan | Statement: [Michael Durkan, name, Michael Durkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Durkan
Context triple: [Michael Durkan, name, Michael Durkan]
  • A. Michael Durkan chosen
    Michael Durkan is a notable individual who shares the Durkan surname, recognized as a distinguished bearer of that family name.
  • B. Joseph Durkan
    Joseph Durkan is a notable individual who shares the Durkan surname, recognized enough to be specifically identified among its bearers.
  • C. John Durkan
    John Durkan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Durkan.
  • D. Paul Durkan
    Paul Durkan is an Irish poet known for his darkly comic, conversational verse that often explores family, politics, and contemporary Irish life.
  • E. Peter Durkan
    Peter Durkan is a notable individual associated with the Durkan name, recognized for his public prominence or professional achievements.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555c73208190a8846a5db1a6802e completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:52 p.m.