Triple

T6126419
Position Surface form Disambiguated ID Type / Status
Subject Mother! E136606 entity
Predicate producer P490 FINISHED
Object Scott Franklin E180092 NE FINISHED

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: Scott Franklin | Statement: [Mother!, producer, Scott Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Franklin
Context triple: [Mother!, producer, Scott Franklin]
  • A. Scott Franklin chosen
    Scott Franklin is an American film producer known for his frequent collaborations with director Darren Aronofsky on acclaimed movies such as Black Swan and The Wrestler.
  • B. Don Franklin
    Don Franklin is an American actor best known for his roles in science fiction and adventure television series, including a prominent part on SeaQuest DSV.
  • C. Richard Franklin
    Richard Franklin was a British actor best known for playing Captain Mike Yates in the classic science fiction television series Doctor Who.
  • D. Vaughn Franklin
    Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
  • E. Mel Daniels
    Mel Daniels was an American professional basketball center best known as a dominant force in the ABA, where he won multiple MVP awards and championships with the Indiana Pacers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135bd8d3881909873d2a063b3aecc completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.