Triple

T20883216
Position Surface form Disambiguated ID Type / Status
Subject The Dilemma E514204 entity
Predicate editedBy P1954 FINISHED
Object Dan Hanley 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: Dan Hanley | Statement: [The Dilemma, editedBy, Dan Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Hanley
Context triple: [The Dilemma, editedBy, Dan Hanley]
  • A. Dan Hanley chosen
    Dan Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • B. Brent Hanley
    Brent Hanley is an American screenwriter best known for writing the critically acclaimed film "Frailty" (2001).
  • C. Dan Hannebery
    Dan Hannebery is a former Australian rules footballer best known as a star midfielder for the Sydney Swans, where he became a premiership player and multiple All-Australian.
  • D. Neale Hanvey
    Neale Hanvey is a Scottish politician who has served as the Member of Parliament for the Kirkcaldy and Cowdenbeath constituency.
  • E. Tim Haines
    Tim Haines is a British television producer and director best known for creating groundbreaking prehistoric and natural history series that blend documentary storytelling with cutting-edge visual effects.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67b03088190be7cbcde8c59509a completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.