Triple

T12669004
Position Surface form Disambiguated ID Type / Status
Subject Michael Dorn E302627 entity
Predicate workedWith P398 FINISHED
Object Brent Spiner E306266 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: Brent Spiner | Statement: [Michael Dorn, workedWith, Brent Spiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brent Spiner
Context triple: [Michael Dorn, workedWith, Brent Spiner]
  • A. Brent Spiner chosen
    Brent Spiner is an American actor best known for portraying the android Lieutenant Commander Data in the television series Star Trek: The Next Generation and its related films.
  • B. Jonathan Frakes
    Jonathan Frakes is an American actor and director best known for playing Commander William Riker in the Star Trek franchise and for directing numerous episodes and films within the series.
  • C. Robert Picardo
    Robert Picardo is an American actor best known for playing the Emergency Medical Hologram (the Doctor) on Star Trek: Voyager and for his extensive work in science fiction television and film.
  • D. Walter Koenig
    Walter Koenig is an American actor best known for playing Ensign Pavel Chekov in the original Star Trek television series and films.
  • E. Kelly Riker
    Kelly Riker is a pivotal character in John Grisham’s legal thriller "The Rainmaker," portrayed as an abused wife whose struggle for safety and justice becomes central to the story’s emotional and moral stakes.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dfce0c8190b3b8260450bd6967 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:20 p.m.