Triple

T7785492
Position Surface form Disambiguated ID Type / Status
Subject Shanté Smith E187231 entity
Predicate relationshipWith P10260 FINISHED
Object Keith Fenton E236332 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: Keith Fenton | Statement: [Shanté Smith, relationshipWith, Keith Fenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Fenton
Context triple: [Shanté Smith, relationshipWith, Keith Fenton]
  • A. Keith Fenton chosen
    Keith Fenton is the charming yet unfaithful boyfriend whose behavior sparks the romantic mind games at the center of the film "Two Can Play That Game."
  • B. Chris Fenton
    Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
  • C. Keith Foulke
    Keith Foulke is a former Major League Baseball relief pitcher best known as the Boston Red Sox closer who played a pivotal role in their 2004 World Series championship run.
  • D. Michael Fottrell
    Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
  • E. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf22d9b4819081b877c751204a22 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf604715081909eed614cbadb8db6 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:23 p.m.