Triple

T4853601
Position Surface form Disambiguated ID Type / Status
Subject Nicole Powell E108479 entity
Predicate familyName P18 FINISHED
Object Powell E24327 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: Powell | Statement: [Nicole Powell, familyName, Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Powell
Context triple: [Nicole Powell, familyName, Powell]
  • A. Powell chosen
    Powell is a common English-language surname borne by numerous notable figures in politics, finance, sports, and the arts.
  • B. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • C. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • D. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • E. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:26 p.m.