Triple

T14658901
Position Surface form Disambiguated ID Type / Status
Subject Good Morning Aztlán E344182 entity
Predicate producer P490 FINISHED
Object John Leckie E794538 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: John Leckie | Statement: [Good Morning Aztlán, producer, John Leckie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Leckie
Context triple: [Good Morning Aztlán, producer, John Leckie]
  • A. John Leckie chosen
    John Leckie is a renowned English record producer and engineer known for his influential work with artists such as Radiohead, The Stone Roses, and Muse.
  • B. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • C. Matthew James Wilkinson
    Matthew James Wilkinson is a film producer known for his work on the British coming-of-age comedy-drama "Days of the Bagnold Summer."
  • D. Ian Mackley
    Ian Mackley is the husband of British comedian and television personality Julian Clary.
  • E. Darren Gilshenan
    Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.