Triple

T2089660
Position Surface form Disambiguated ID Type / Status
Subject Wendell Pierce E32638 entity
Predicate givenName P17 FINISHED
Object Wendell E148262 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: Wendell | Statement: [Wendell Pierce, givenName, Wendell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendell
Context triple: [Wendell Pierce, givenName, Wendell]
  • A. Wendell chosen
    Wendell is a masculine given name of English origin that gained prominence in the United States, notably borne by figures such as abolitionist orator Wendell Phillips.
  • B. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • C. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • D. Dedridge
    Dedridge is a residential neighbourhood within the new town of Livingston in West Lothian, Scotland.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2744d8108190b551a970956914c4 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:43 p.m.