Triple

T8999657
Position Surface form Disambiguated ID Type / Status
Subject Wonder Bar E215009 entity
Predicate starring P1507 FINISHED
Object Guy Kibbee E115943 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: Guy Kibbee | Statement: [Wonder Bar, starring, Guy Kibbee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Kibbee
Context triple: [Wonder Bar, starring, Guy Kibbee]
  • A. Guy Kibbee chosen
    Guy Kibbee was an American character actor best known for his affable, often comical supporting roles in 1930s and 1940s Hollywood films.
  • B. Austin Corbett
    Austin Corbett is an American football offensive lineman who played college football at Nevada and went on to a professional career in the NFL.
  • C. Joe Hogue
    Joe Hogue is a music producer known for his work on early recordings by pop artist Katy Perry (then performing as Katy Hudson).
  • D. Chris Liddell
    Chris Liddell is a New Zealand-born businessman and former corporate executive who served as White House Deputy Chief of Staff for Policy Coordination under U.S. President Donald Trump.
  • E. Milton Kibbee
    Milton Kibbee was an American character actor known for his numerous supporting roles in Hollywood films during the 1930s and 1940s.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e3b1f48190bbeafbce363fff53 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9741dc8190bec985da8913937c completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:05 p.m.