Triple

T12581333
Position Surface form Disambiguated ID Type / Status
Subject Anne Durkan E300344 entity
Predicate name P16 FINISHED
Object Anne Durkan E300344 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: Anne Durkan | Statement: [Anne Durkan, name, Anne Durkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Durkan
Context triple: [Anne Durkan, name, Anne Durkan]
  • A. Anne Durkan chosen
    Anne Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
  • B. Rachel Daly
    Rachel Daly is an English professional footballer known for her versatility as both a forward and defender, with a prominent club career in the NWSL and WSL and regular appearances for the England national team.
  • C. Oona Laurence
    Oona Laurence is an American actress known for her breakout role in the Broadway production of "Matilda the Musical" and subsequent performances in film and television.
  • D. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • E. Catherine Durkan
    Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e7daa08190917f446c06adece3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:02 p.m.