Triple

T12148876
Position Surface form Disambiguated ID Type / Status
Subject Giant Steps E289400 entity
Predicate coAuthor P398 FINISHED
Object Peter Knobler E834942 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: Peter Knobler | Statement: [Giant Steps, coAuthor, Peter Knobler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Knobler
Context triple: [Giant Steps, coAuthor, Peter Knobler]
  • A. Peter Knobler chosen
    Peter Knobler is an American writer and journalist best known for co-authoring numerous celebrity and political memoirs.
  • B. Steve Chasman
    Steve Chasman is a film producer best known for his work on high-octane action movies, frequently collaborating with actor Jason Statham.
  • C. Ken Koblun
    Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
  • D. Tony Ressler
    Tony Ressler is an American billionaire private equity investor and co-founder of Apollo Global Management and Ares Management, who is also a principal owner of the NBA’s Atlanta Hawks.
  • E. Ted Kramer
    Ted Kramer is the work-obsessed advertising executive and father whose struggle to raise his young son alone after his wife leaves him forms the emotional core of the film "Kramer vs. Kramer."
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ad6ef08190b334a97d6ab41487 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f698c5648190a5a29e08f2b7d8ab completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.