Triple

T16161659
Position Surface form Disambiguated ID Type / Status
Subject Rules of Engagement E392193 entity
Predicate mainCharacter P1183 FINISHED
Object Jeff Bingham E221012 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: Jeff Bingham | Statement: [Rules of Engagement, mainCharacter, Jeff Bingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Bingham
Context triple: [Rules of Engagement, mainCharacter, Jeff Bingham]
  • A. Jeff Bingham chosen
    Jeff Bingham is a sarcastic, sports-loving, and somewhat old-fashioned married man who serves as one of the central characters on the sitcom "Rules of Engagement."
  • B. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • C. David Fanning
    David Fanning is a television producer and journalist best known for founding and long serving as the executive producer of the PBS investigative documentary series Frontline.
  • D. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • E. Jon Bauman
    Jon Bauman is an American musician and television personality best known for his role as "Bowzer" in the retro rock-and-roll group Sha Na Na.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5ffba88190b9dc7bb9afb6fdf2 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000785fcd481909ddf92cf9cc5c0aa completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.