Triple

T13472654
Position Surface form Disambiguated ID Type / Status
Subject Jack Thorne E318167 entity
Predicate collaboratedWith P435 FINISHED
Object John Tiffany E738856 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 Tiffany | Statement: [Jack Thorne, collaboratedWith, John Tiffany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tiffany
Context triple: [Jack Thorne, collaboratedWith, John Tiffany]
  • A. John Tiffany chosen
    John Tiffany is a British theatre director best known for co-creating and directing the stage play "Harry Potter and the Cursed Child."
  • B. Ben Templesmith
    Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
  • C. Cecil Balmond
    Cecil Balmond is a Sri Lankan–British designer, engineer, and theorist renowned for his innovative structural collaborations on landmark architectural projects worldwide.
  • D. Michael Reynolds
    Michael Reynolds is an American architect best known for pioneering the sustainable "Earthship" style of off-grid, eco-friendly housing built from recycled materials.
  • E. Tim Ives
    Tim Ives is an American cinematographer known for his work on acclaimed film and television projects, including series like "Stranger Things" and "Girls."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462d97688190b5b817fff5973ceb completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.