Triple

T18953773
Position Surface form Disambiguated ID Type / Status
Subject Cai Guo-Qiang: I Want to Believe E463719 entity
Predicate publisher P29 FINISHED
Object Thames & Hudson NE NERFINISHED

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: Thames & Hudson | Statement: [Cai Guo-Qiang: I Want to Believe, publisher, Thames & Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames & Hudson
Context triple: [Cai Guo-Qiang: I Want to Believe, publisher, Thames & Hudson]
  • A. Thames & Hudson chosen
    Thames & Hudson is a renowned international publishing house specializing in high-quality illustrated books on art, architecture, design, and visual culture.
  • B. Allen Lane
    Allen Lane was a British publisher who founded Penguin Books and pioneered the mass-market paperback revolution in the 20th century.
  • C. Gardner Rich & Co.
    Gardner Rich & Co. is a Chicago-based brokerage firm best known as the company Chris Gardner built after overcoming homelessness, a story popularized by the film "The Pursuit of Happyness."
  • D. Watson-Guptill
    Watson-Guptill is a long-established American publisher best known for its instructional and reference books on art, design, and creative techniques.
  • E. Bodley Head
    Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d545f47881909110e6a92e86b384 completed April 20, 2026, 7:27 a.m.
Created at: April 10, 2026, noon