Triple

T16802654
Position Surface form Disambiguated ID Type / Status
Subject Inception E408395 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. Syncopy Inc.
    Syncopy Inc. is a British-American film production company co-founded by director Christopher Nolan and producer Emma Thomas, known for producing high-profile, critically acclaimed films.
  • C. Sincronie
    Sincronie is a contemporary classical composition by Italian avant-garde composer Luciano Berio, known for its exploration of timbre, texture, and complex ensemble interplay.
  • D. Syncro
    Syncro is Volkswagen’s proprietary all-wheel-drive system used in various models to enhance traction and stability.
  • E. SyncE
    SyncE is a telecommunications standard that extends traditional Ethernet to provide highly accurate and reliable frequency synchronization across packet-based networks.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c8fe58819087d3b83635255c34 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1598dc81909fa5118e739a3291 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.