Triple

T20890932
Position Surface form Disambiguated ID Type / Status
Subject Volunteers E514403 entity
Predicate featuresArtist P1952 FINISHED
Object Spencer Dryden 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 Dryden | Statement: [Volunteers, featuresArtist, Spencer Dryden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer Dryden
Context triple: [Volunteers, featuresArtist, Spencer Dryden]
  • A. Spencer Dryden chosen
    Spencer Dryden was an American drummer best known for his influential work with the psychedelic rock band Jefferson Airplane during the late 1960s.
  • B. Spencer Dale
    Spencer Dale is a British economist known for his former role as Chief Economist of the Bank of England and later as Chief Economist at BP.
  • C. Dryden Wheeler
    Dryden Wheeler is an individual associated by surname with Wheeler Dryden, a member of Charlie Chaplin’s family and an English actor and director.
  • 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. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d05e307081908f1d044e877017ec completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.