Triple

T15441159
Position Surface form Disambiguated ID Type / Status
Subject Ripper Street E369902 entity
Predicate executiveProducer P7225 FINISHED
Object Simon Vaughan E732766 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: Simon Vaughan | Statement: [Ripper Street, executiveProducer, Simon Vaughan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Vaughan
Context triple: [Ripper Street, executiveProducer, Simon Vaughan]
  • A. Simon Vaughan chosen
    Simon Vaughan is a British television and film producer known for developing and executive producing high-profile drama adaptations and miniseries.
  • B. Thomas Vaughan
    Thomas Vaughan was a 15th-century English courtier and royal servant who became a prominent supporter of the House of York during the Wars of the Roses.
  • C. Giles Stewart
    Giles Stewart is an alternative name or anglicized form of Egidia Stewart, a historical member of the Scottish Stewart family.
  • D. John Stephen Vaughan
    John Stephen Vaughan was an English Roman Catholic bishop and member of the prominent Vaughan ecclesiastical family in the late 19th and early 20th centuries.
  • E. Nevill Syfret
    Nevill Syfret was a senior Royal Navy admiral best known for his World War II service, including key command roles in major naval operations.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a9b9188190a3f5de3ee18c5d3e completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.