Triple

T21012626
Position Surface form Disambiguated ID Type / Status
Subject The Electric Company E517587 entity
Predicate featuredPerformer P17435 FINISHED
Object Skip Hinnant 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: Skip Hinnant | Statement: [The Electric Company, featuredPerformer, Skip Hinnant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skip Hinnant
Context triple: [The Electric Company, featuredPerformer, Skip Hinnant]
  • A. Skip Hinnant chosen
    Skip Hinnant is an American actor and voice actor best known for his work on the children's television show "The Electric Company" and various animated productions.
  • B. Alex Heineman
    Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
  • C. Michael Grunst
    Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
  • D. Matthew C. Brown
    Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
  • E. Herb Sutter
    Herb Sutter is a prominent C++ expert, author, and standards committee member known for his influential writings and contributions to modern C++ design and concurrency.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc40f91c81908c9b6d99869de7aa completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.