Triple

T10467563
Position Surface form Disambiguated ID Type / Status
Subject Prince of Persia: The Sands of Time E246835 entity
Predicate editedBy P1954 FINISHED
Object Mick Audsley E194178 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: Mick Audsley | Statement: [Prince of Persia: The Sands of Time, editedBy, Mick Audsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Audsley
Context triple: [Prince of Persia: The Sands of Time, editedBy, Mick Audsley]
  • A. Mick Audsley chosen
    Mick Audsley is a British film editor known for his work on numerous major feature films, including collaborations with directors like Terry Gilliam and Stephen Frears.
  • B. Ken Parry
    Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
  • C. John Madin
    John Madin was a British modernist architect best known for his influential post-war designs in Birmingham, England.
  • D. Phil Collinson
    Phil Collinson is a British television producer best known for his work on the revived era of Doctor Who.
  • E. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dac584081909a79bc300b9338c8 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:20 p.m.