Triple

T15469881
Position Surface form Disambiguated ID Type / Status
Subject Coffee Town E372130 entity
Predicate castMember P1668 FINISHED
Object Will Sasso E573970 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: Will Sasso | Statement: [Coffee Town, castMember, Will Sasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Sasso
Context triple: [Coffee Town, castMember, Will Sasso]
  • A. Will Sasso chosen
    Will Sasso is a Canadian actor and comedian best known for his sketch comedy work on television and his roles in film and voice acting.
  • B. Michael Sarnoski
    Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
  • C. Mel Dinelli
    Mel Dinelli was an American playwright and screenwriter best known for his work in film noir and suspense films during the mid-20th century.
  • D. Greg Stillson
    Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
  • E. Frank Busseri
    Frank Busseri is a Canadian singer best known as a founding member and baritone of the popular 1950s vocal group The Four Lads.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.