Triple

T20890728
Position Surface form Disambiguated ID Type / Status
Subject Starship E514399 entity
Predicate hasMember P10 FINISHED
Object Craig Chaquico 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: Craig Chaquico | Statement: [Starship, hasMember, Craig Chaquico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Chaquico
Context triple: [Starship, hasMember, Craig Chaquico]
  • A. Craig Chaquico chosen
    Craig Chaquico is an American guitarist and songwriter best known as the lead guitarist for Jefferson Starship and later Starship, as well as for his successful solo career in contemporary jazz and new-age music.
  • B. Aaron Chwatt
    Aaron Chwatt, better known by his stage name Red Buttons, was an American comedian and Academy Award–winning character actor prominent in mid-20th-century film and television.
  • C. Danny Donahue
    Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
  • D. Jesse Zubot
    Jesse Zubot is a Canadian violinist, composer, and producer known for his work in experimental, jazz, and film music.
  • E. Daniel Lapaine
    Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
  • 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.