Triple

T6911285
Position Surface form Disambiguated ID Type / Status
Subject Abby Pearce Truman Chapman E159936 entity
Predicate hasMiddleName P143 FINISHED
Object Pearce E155807 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: Pearce | Statement: [Abby Pearce Truman Chapman, hasMiddleName, Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearce
Context triple: [Abby Pearce Truman Chapman, hasMiddleName, Pearce]
  • A. Pearce chosen
    Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
  • B. Payette
    Payette is a French-Canadian surname most notably associated with Julie Payette, an engineer, astronaut, and former Governor General of Canada.
  • C. Rowan
    Rowan is a masculine given name of Irish and Scottish origin, commonly associated with the actor and comedian Rowan Atkinson.
  • D. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • E. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c135b48190b332aedf1d52bdb7 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7490c95548190a493d3fd23d1d7a5 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.