Triple

T20929256
Position Surface form Disambiguated ID Type / Status
Subject Timeline (film) E515424 entity
Predicate screenwriter P2831 FINISHED
Object Jeff Maguire 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: Jeff Maguire | Statement: [Timeline (film), screenwriter, Jeff Maguire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Maguire
Context triple: [Timeline (film), screenwriter, Jeff Maguire]
  • A. Jeff Maguire chosen
    Jeff Maguire is an American screenwriter best known for writing the political thriller film "In the Line of Fire."
  • B. Chris Maguire
    Chris Maguire is a co-founder of Etsy, the popular online marketplace for handmade and vintage goods.
  • C. Eric Murray
    Eric Murray is a New Zealand rower best known as a multiple Olympic and world champion in the men's pair alongside partner Hamish Bond.
  • D. Brandon Maggart
    Brandon Maggart is an American actor and singer best known for his character roles in film and television since the 1970s.
  • E. J.J. Maguire
    J.J. Maguire is a troubled young musician whose planned New Year’s Eve suicide leads him into an unlikely pact with three strangers in the dark comedy-drama film "A Long Way Down."
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6545f8c81908a8c2f0e8d7b060e completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.