Triple

T1461587
Position Surface form Disambiguated ID Type / Status
Subject Brennan E31523 entity
Predicate hasVariant P455 FINISHED
Object Brenan E31523 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: Brenan | Statement: [Brennan, hasVariant, Brenan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenan
Context triple: [Brennan, hasVariant, Brenan]
  • A. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • B. Bayard
    Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
  • C. Banagher
    Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
  • D. Bevan
    Bevan is a Welsh surname most famously associated with Aneurin Bevan, the Labour politician regarded as the chief architect of the United Kingdom’s National Health Service.
  • E. Brennan chosen
    Brennan is a surname most prominently associated with William J. Brennan Jr., a long-serving and influential Associate Justice of the United States Supreme Court known for his progressive jurisprudence.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59ecb60819082217b034e18381f completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7ab538819090bc3e3ed1bbff64 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.