Triple

T10469755
Position Surface form Disambiguated ID Type / Status
Subject Shrek the Musical (London production) E246892 entity
Predicate costumeDesignBy P184 FINISHED
Object Tim Hatley E864564 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: Tim Hatley | Statement: [Shrek the Musical (London production), costumeDesignBy, Tim Hatley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Hatley
Context triple: [Shrek the Musical (London production), costumeDesignBy, Tim Hatley]
  • A. Tim Hatley chosen
    Tim Hatley is an acclaimed British theatre and film set and costume designer known for his work on major West End and Broadway productions.
  • B. Stuart Craig
    Stuart Craig is an acclaimed British production designer best known for his iconic work on the Harry Potter film series and other major cinematic productions.
  • C. Wayne Barlowe
    Wayne Barlowe is a science fiction and fantasy artist and author renowned for his imaginative creature designs and detailed depictions of alien worlds.
  • D. William Ivey Long
    William Ivey Long is a renowned American costume designer celebrated for his work on numerous Broadway productions and multiple Tony Award wins.
  • E. Catherine Martin
    Catherine Martin is an Australian costume, production designer, and film producer best known for her long-time creative collaboration with director Baz Luhrmann on visually lavish films.
  • 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_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc68b49481909715c36a4c0e7c4f completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:20 p.m.