Triple

T6705330
Position Surface form Disambiguated ID Type / Status
Subject Denise Di Novi E152988 entity
Predicate producerOf P490 FINISHED
Object Focus (2015 film) E613908 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: Focus (2015 film) | Statement: [Denise Di Novi, producerOf, Focus (2015 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus (2015 film)
Context triple: [Denise Di Novi, producerOf, Focus (2015 film)]
  • A. Focus (2015 film) chosen
    Focus (2015 film) is a 2015 American crime comedy-drama about a veteran con artist who takes a novice under his wing, starring Will Smith and Margot Robbie.
  • B. Fokus
    Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
  • C. In Focus
    In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
  • D. Eye in the Sky
    Eye in the Sky is a 2015 British thriller film that explores the moral and legal complexities of modern drone warfare and targeted killings.
  • E. The Adjustment Bureau
    The Adjustment Bureau is a 2011 science-fiction romantic thriller film about a politician who discovers a mysterious organization that controls fate, co-starring Emily Blunt and Matt Damon.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0ea8cfc819081affc73603c2cf3 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af6d1608190887c5d9f94ffe9fa completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:06 p.m.