Triple

T21662180
Position Surface form Disambiguated ID Type / Status
Subject Michael Tippett E534620 entity
Predicate familyName P18 FINISHED
Object Tippett 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: Tippett | Statement: [Michael Tippett, familyName, Tippett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tippett
Context triple: [Michael Tippett, familyName, Tippett]
  • A. Tippett chosen
    Tippett is a surname most notably associated with Phil Tippett, the acclaimed visual effects supervisor and stop-motion animator known for his work on films like Star Wars and Jurassic Park.
  • B. Tovey
    Tovey is an English surname most notably associated with actor Russell Tovey, known for his work in British television, film, and theatre.
  • C. Tipperty
    Tipperty is a small settlement in Aberdeenshire, Scotland, situated near the A90 trunk road north of Aberdeen.
  • D. Handcock
    Handcock is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
  • E. Tapperiet
    Tapperiet is a notable live music venue in Notodden, Norway, best known for hosting performances during the renowned Notodden Blues Festival.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0883d481908dfdc66832c34d74 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.