Triple

T18945421
Position Surface form Disambiguated ID Type / Status
Subject Spencer James E463500 entity
Predicate basedOn P98 FINISHED
Object Spencer Paysinger 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: Spencer Paysinger | Statement: [Spencer James, basedOn, Spencer Paysinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer Paysinger
Context triple: [Spencer James, basedOn, Spencer Paysinger]
  • A. Spencer Paysinger chosen
    Spencer Paysinger is a former NFL linebacker whose life and high school football experiences inspired the television drama series "All American."
  • B. Spencer Bridges
    Spencer Bridges is the son of American actor Todd Bridges, known for his work in film and television.
  • C. Spencer Nilsen
    Spencer Nilsen is an American video game music composer best known for creating the North American soundtrack for Sonic CD and other Sega titles in the 1990s.
  • D. Spencer Garrett
    Spencer Garrett is an American character actor known for his numerous supporting roles in film and television, often portraying political figures, lawyers, and journalists.
  • E. Spence Olchin
    Spence Olchin is a socially awkward, nerdy friend character from the sitcom "The King of Queens," known for his quirky personality and close ties to the main couple.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53f6eb8819099b1268db8b14d66 completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.