Triple

T13273934
Position Surface form Disambiguated ID Type / Status
Subject The Big Clock E316137 entity
Predicate screenwriter P2831 FINISHED
Object Jonathan Latimer E619030 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 Latimer | Statement: [The Big Clock, screenwriter, Jonathan Latimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Latimer
Context triple: [The Big Clock, screenwriter, Jonathan Latimer]
  • A. Jonathan Latimer chosen
    Jonathan Latimer was an American crime novelist and screenwriter known for his hardboiled detective fiction and for adapting works by authors like Dashiell Hammett for film.
  • B. Jean Latimer
    Jean Latimer is the privileged yet emotionally conflicted young woman at the center of the drama in the film "The Girl Who Had Everything."
  • C. Philip Latham
    Philip Latham was a British actor best known for his character roles in film and television, particularly in period dramas.
  • D. Paul Jefferies
    Paul Jefferies, better known as producer and songwriter Nineteen85, is a Canadian music producer renowned for crafting several of Drake’s biggest hits, including “One Dance” and “Hotline Bling.”
  • E. Henry Justin Smith
    Henry Justin Smith was an influential American newspaper editor and author best known for his leadership at the Chicago Daily News in the early 20th century.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74610b2c481909497296e999226e8 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:26 p.m.