Triple

T12436725
Position Surface form Disambiguated ID Type / Status
Subject For Those in Peril E297161 entity
Predicate castMember P1668 FINISHED
Object Michael Smiley E204333 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: Michael Smiley | Statement: [For Those in Peril, castMember, Michael Smiley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Smiley
Context triple: [For Those in Peril, castMember, Michael Smiley]
  • A. Michael Smiley chosen
    Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
  • B. Carl Smith
    Carl Smith was an American country music singer and guitarist prominent in the 1950s, known for hits like "Hey Joe" and for his influential honky-tonk style.
  • C. Phil Smith
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • D. Mel Smith
    Mel Smith was a British comedian, actor, and director best known for his work on the sketch show "Not the Nine O'Clock News" and for directing popular films such as "Bean."
  • E. Stu Smiley
    Stu Smiley is a television producer best known for his executive role on the hit sitcom "Everybody Loves Raymond."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.