Triple

T18231951
Position Surface form Disambiguated ID Type / Status
Subject Mighty Morphin Power Rangers E436561 entity
Predicate notableCastMember P7010 FINISHED
Object David Yost 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: David Yost | Statement: [Mighty Morphin Power Rangers, notableCastMember, David Yost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Yost
Context triple: [Mighty Morphin Power Rangers, notableCastMember, David Yost]
  • A. David Yost chosen
    David Yost is an American actor best known for playing Billy Cranston, the original Blue Ranger, in the television series Mighty Morphin Power Rangers.
  • B. Daniel Yost
    Daniel Yost is an American screenwriter best known for co-writing the acclaimed 1989 film "Drugstore Cowboy."
  • C. Robert Yost
    Robert Yost was an American screenwriter active during Hollywood’s early studio era, contributing scripts to numerous films in the 1930s and 1940s.
  • D. Jim Yukich
    Jim Yukich is an American television and music video director best known for his extensive work with major pop and rock artists, including numerous videos for Phil Collins and Genesis.
  • E. David Stavens
    David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b3495881909f2a3f3a8db43792 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.