Triple

T14167432
Position Surface form Disambiguated ID Type / Status
Subject Micki + Maude E351114 entity
Predicate screenplayBy P15305 FINISHED
Object Jonathan Reynolds E1110281 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: Jonathan Reynolds | Statement: [Micki + Maude, screenplayBy, Jonathan Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Reynolds
Context triple: [Micki + Maude, screenplayBy, Jonathan Reynolds]
  • A. Jonathan Reynolds chosen
    Jonathan Reynolds was an American playwright and screenwriter known for his work on stage and in film, including several notable comedies.
  • B. Josh Reynolds
    Josh Reynolds is an American folk musician best known as a later member of the influential folk group The Kingston Trio.
  • C. Frank Reynolds
    Frank Reynolds is a scheming, morally bankrupt businessman and the depraved, chaos-loving father figure of the gang in the sitcom "It's Always Sunny in Philadelphia."
  • D. Frank Reynolds
    Frank Reynolds is a film editor best known for his work on acclaimed movies such as "In the Bedroom."
  • E. William Reynolds
    William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b98d6881908c0efd086a973af2 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1 a.m.