Triple

T5547311
Position Surface form Disambiguated ID Type / Status
Subject Enchanted E145439 entity
Predicate director P255 FINISHED
Object Kevin Lima E339899 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: Kevin Lima | Statement: [Enchanted, director, Kevin Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Lima
Context triple: [Enchanted, director, Kevin Lima]
  • A. Kevin Lima chosen
    Kevin Lima is an American film director, animator, and screenwriter best known for his work on Disney animated features such as "A Goofy Movie," "Tarzan," and the live-action/animated film "Enchanted."
  • B. Tony Almeida
    Tony Almeida is a key fictional Counter Terrorist Unit agent in the television series "24," known for his complex loyalties and evolving role across multiple seasons.
  • C. Mark Vicente
    Mark Vicente is a cinematographer and filmmaker best known for his work on the documentary "What the Bleep Do We Know!?" and his involvement in the NXIVM organization.
  • D. Carlos Lemos
    Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
  • E. Dani Ramos
    Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282ace308190a714685579f2a789 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.