Triple

T11991446
Position Surface form Disambiguated ID Type / Status
Subject David Hasselhoff E285415 entity
Predicate name P16 FINISHED
Object David Hasselhoff E285415 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: David Hasselhoff | Statement: [David Hasselhoff, name, David Hasselhoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hasselhoff
Context triple: [David Hasselhoff, name, David Hasselhoff]
  • A. David Hasselhoff chosen
    David Hasselhoff is an American actor, singer, and producer best known for his starring roles in the television series "Knight Rider" and "Baywatch."
  • B. Ron Jeremy
    Ron Jeremy is an American former adult film actor who became one of the most recognizable and controversial figures in the pornography industry.
  • C. Scott Baio
    Scott Baio is an American actor best known for his roles on the television series "Happy Days," "Joanie Loves Chachi," and "Charles in Charge."
  • D. Ricky Kirshner
    Ricky Kirshner is a prominent American television and live-event producer known for overseeing major broadcasts such as Super Bowl halftime shows and high-profile award ceremonies.
  • E. Don Johnson
    Don Johnson is an American actor best known for his charismatic leading role in the 1980s TV series "Miami Vice" and numerous film and television appearances.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903afe4388190a2cf2328e85adf9b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.