Triple

T13694174
Position Surface form Disambiguated ID Type / Status
Subject Barbershop E328341 entity
Predicate castMember P1668 FINISHED
Object Sean Patrick Thomas E322273 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: Sean Patrick Thomas | Statement: [Barbershop, castMember, Sean Patrick Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Patrick Thomas
Context triple: [Barbershop, castMember, Sean Patrick Thomas]
  • A. Sean Patrick Thomas chosen
    Sean Patrick Thomas is an American actor best known for his roles in films like "Save the Last Dance" and television series such as "The District."
  • B. Patrick Thomas
    Patrick Thomas is an American actor best known for playing Uncle Fester in adaptations of The Addams Family.
  • C. Ryan Thomas
    Ryan Thomas is a professional mixed martial artist who has competed in major promotions including the UFC.
  • D. Ryan Thomas
    Ryan Thomas is a fictional character portrayed by actor Kerr Smith, best known from his work in American television dramas.
  • E. Philip Michael Thomas
    Philip Michael Thomas is an American actor best known for his role as Detective Ricardo Tubbs on the 1980s television series "Miami Vice."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.