Triple

T20414644
Position Surface form Disambiguated ID Type / Status
Subject Star Trek feature films E500675 entity
Predicate featuresCharacter P626 FINISHED
Object William Riker NE NERFINISHED

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: William Riker | Statement: [Star Trek feature films, featuresCharacter, William Riker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Riker
Context triple: [Star Trek feature films, featuresCharacter, William Riker]
  • A. William Riker chosen
    William Riker is a prominent Starfleet officer best known as Captain Jean-Luc Picard’s longtime first officer aboard the USS Enterprise in the Star Trek franchise.
  • B. Thomas Riker
    Thomas Riker is a Star Trek: The Next Generation character who is a duplicate of William Riker created in a transporter accident and later joins the Maquis.
  • C. Will Riker
    Will Riker is a charismatic Starfleet officer best known as Captain Jean-Luc Picard’s trusted first officer aboard the USS Enterprise in the Star Trek franchise.
  • D. Riker
    Riker is a surname most prominently associated with the American Riker family, including historical figures in New York such as Abraham Rycken.
  • E. Kirk Boott
    Kirk Boott was a prominent early 19th-century industrialist and manager who played a central role in developing the textile mills and industrial infrastructure of Lowell, Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4281048190a2b016ec16b7d203 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.