Triple

T1223596
Position Surface form Disambiguated ID Type / Status
Subject Inception E26277 entity
Predicate productionCompany P490 FINISHED
Object Syncopy E4056 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: Syncopy | Statement: [Inception, productionCompany, Syncopy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syncopy
Context triple: [Inception, productionCompany, Syncopy]
  • A. Syncopy chosen
    Syncopy is a British film production company founded by director Christopher Nolan and producer Emma Thomas, known for backing many of Nolan’s major films.
  • B. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • C. Fourier
    Fourier is a French surname most famously associated with Jean-Baptiste Joseph Fourier, the mathematician and physicist known for developing Fourier analysis and Fourier series.
  • D. White Noise
    White Noise is a postmodern novel by Don DeLillo that satirically explores contemporary American life, consumer culture, and the pervasive fear of death through the story of a college professor and his family.
  • E. MNE
    MNE is the three-letter ISO 3166-1 alpha-3 country code assigned to Montenegro.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832704c08190a1a73ebd90fa91b8 completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:47 p.m.