Triple

T13384268
Position Surface form Disambiguated ID Type / Status
Subject SmartLess E319399 entity
Predicate hasHost P2592 FINISHED
Object Sean Hayes E471013 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 Hayes | Statement: [SmartLess, hasHost, Sean Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Hayes
Context triple: [SmartLess, hasHost, Sean Hayes]
  • A. Sean Hayes chosen
    Sean Hayes is an American actor and comedian best known for his Emmy-winning role as Jack McFarland on the television sitcom "Will & Grace."
  • B. Patrick J. Sullivan
    Patrick J. Sullivan was a notable individual interred at Mount Olivet Cemetery in Washington, D.C., recognized for his significance to the local community or broader historical record.
  • C. Gregg Henry
    Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
  • D. Tim Healy
    Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
  • E. Tim Healy
    Tim Healy is an English actor best known for his comedic and dramatic television roles, particularly in popular British series.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.