Triple

T1955671
Position Surface form Disambiguated ID Type / Status
Subject Emma Thomas E42261 entity
Predicate coFounderOf P104 FINISHED
Object Syncopy Inc. 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 Inc. | Statement: [Emma Thomas, coFounderOf, Syncopy Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syncopy Inc.
Context triple: [Emma Thomas, coFounderOf, Syncopy Inc.]
  • A. 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.
  • B. 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.
  • C. Syntrillium Software
    Syntrillium Software was a software company best known for creating the audio editing program Cool Edit, which later evolved into Adobe Audition after Adobe acquired the firm.
  • D. Forethought Inc.
    Forethought Inc. was a software company best known for creating the presentation program that became Microsoft PowerPoint before being acquired by Microsoft.
  • E. Capco
    Capco is a global management and technology consultancy specializing in the financial services industry.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37b4a38819099f98be92be91ade completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031cc7948190a4d9593cd118c149 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.