Triple

T22428362
Position Surface form Disambiguated ID Type / Status
Subject The Magician’s Elephant E554431 entity
Predicate screenwriter P2831 FINISHED
Object Martin Hynes 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: Martin Hynes | Statement: [The Magician’s Elephant, screenwriter, Martin Hynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Hynes
Context triple: [The Magician’s Elephant, screenwriter, Martin Hynes]
  • A. Martin Hynes chosen
    Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
  • B. Michael Guy
    Michael Guy is a songwriter best known for co-writing Ludacris's hit single "Splash Waterfalls."
  • C. Deval Patrick
    Deval Patrick is an American politician, lawyer, and former two-term Democratic governor of Massachusetts who was the state's first African American governor.
  • D. James Hynes
    James Hynes is an American novelist and critic known for his darkly comic fiction that often blends literary satire with elements of horror and speculative fiction.
  • E. William F. Galvin
    William F. Galvin is a long-serving American politician who has held the role of Massachusetts' chief elections and public records official for several decades.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.