Triple

T18741761
Position Surface form Disambiguated ID Type / Status
Subject Barbara Higbie E458306 entity
Predicate associatedAct P37 FINISHED
Object Michael Manring 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: Michael Manring | Statement: [Barbara Higbie, associatedAct, Michael Manring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Manring
Context triple: [Barbara Higbie, associatedAct, Michael Manring]
  • A. Michael Manring chosen
    Michael Manring is an American bassist renowned for his innovative solo work, extensive session career, and pioneering use of altered tunings and extended techniques on the electric bass.
  • B. Kevin Manthei
    Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
  • C. Andrew Mittman
    Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
  • D. Michael Nelson
    Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
  • E. Michael Merrill
    Michael Merrill is the son of legendary American actress Bette Davis, known for his later role in managing her estate and legacy.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ecc2081908143310190ffb460 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.