Triple

T21561078
Position Surface form Disambiguated ID Type / Status
Subject The Very Idea E532027 entity
Predicate hasCastMember P2308 FINISHED
Object Edward Connelly 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: Edward Connelly | Statement: [The Very Idea, hasCastMember, Edward Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Connelly
Context triple: [The Very Idea, hasCastMember, Edward Connelly]
  • A. Edward Connelly chosen
    Edward Connelly was an American character actor of the silent film era, known for his supporting roles in numerous early Hollywood productions.
  • B. David Connell
    David Connell was a pioneering television producer best known for helping develop and shape influential educational children's programming, including early work on "Sesame Street."
  • C. David Connell
    David Connell is a cinematographer known for his work on films such as "The Librarian: Curse of the Judas Chalice."
  • D. Francis Connelly
    Francis Connelly is the child of Cornelia Peacock, later known as Cornelia Connelly, the 19th-century American-born foundress of the Society of the Holy Child Jesus.
  • E. George Connor
    George Connor was a Hall of Fame American football linebacker and tackle who starred for the Chicago Bears in the 1940s and 1950s and later worked as a broadcaster.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e3e2348190b5c3b66cdc871e6e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.