Triple

T15048622
Position Surface form Disambiguated ID Type / Status
Subject Admiral William Brown E379295 entity
Predicate name P16 FINISHED
Object William Brown E727609 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: William Brown | Statement: [Admiral William Brown, name, William Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Brown
Context triple: [Admiral William Brown, name, William Brown]
  • A. William Brown
    William Brown is an author known for contributing to the book "Around the Way Girl."
  • B. William Brown
    William Brown was an engineer best known for his role in designing Istanbul’s iconic Bosporus Bridge, one of the world’s major suspension bridges connecting Europe and Asia.
  • C. William Brown
    William Brown was a civil engineer known for his role in the design and construction of the Severn Bridge in the United Kingdom.
  • D. William Brown
    William Brown was an American Revolutionary War soldier recognized as the first recipient of the Badge of Military Merit, a precursor to the modern Purple Heart.
  • E. William Brown chosen
    William Brown was an Irish-born admiral who became a national hero in Argentina as the founder and first commander of its navy.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de83b648190ba437c0fac164ec6 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.