Triple

T3558126
Position Surface form Disambiguated ID Type / Status
Subject Horrible Bosses 2 E75269 entity
Predicate character P662 FINISHED
Object Kurt Buckman E110915 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: Kurt Buckman | Statement: [Horrible Bosses 2, character, Kurt Buckman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Buckman
Context triple: [Horrible Bosses 2, character, Kurt Buckman]
  • A. Kurt Buckman chosen
    Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
  • B. Dustin Buckner
    Dustin Buckner is an individual notable enough to be specifically recognized as a bearer of the Buckner surname.
  • C. Bryan Woodman
    Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
  • D. Dick Hantak
    Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
  • E. Emmett Kurzfeld
    Emmett Kurzfeld is a supporting intelligence operative in the spy thriller film "Atomic Blonde," aiding the protagonist amid Cold War espionage in Berlin.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc086e6688190b90ae356e18b953e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3771e348190badb02264ecbdce2 completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:20 p.m.