Triple

T22664104
Position Surface form Disambiguated ID Type / Status
Subject Employee of the Month E559737 entity
Predicate starring P1507 FINISHED
Object Tim Bagley NE NERFINISHED

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: Tim Bagley | Statement: [Employee of the Month, starring, Tim Bagley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Bagley
Context triple: [Employee of the Month, starring, Tim Bagley]
  • A. Tim Bagley chosen
    Tim Bagley is an American character actor and comedian known for his numerous supporting roles in film and television, including appearances in popular comedies throughout the 1990s and 2000s.
  • B. Mark Bagley
    Mark Bagley is an American comic book artist best known for his long runs on Marvel titles such as The Amazing Spider-Man and Ultimate Spider-Man.
  • C. Dennis Burkley
    Dennis Burkley was an American character actor known for his burly appearance and roles in numerous film and television productions from the 1970s through the early 2000s.
  • D. Ray Wilkins
    Ray Wilkins was an elegant English midfielder and respected coach who captained Chelsea and represented England at major international tournaments.
  • E. John Bagley
    John Bagley is a former American professional basketball player and point guard who starred at Boston College before playing in the NBA during the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.