Triple

T10391922
Position Surface form Disambiguated ID Type / Status
Subject Warlight E244911 entity
Predicate coverArtist P184 FINISHED
Object Chip Kidd E160161 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: Chip Kidd | Statement: [Warlight, coverArtist, Chip Kidd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chip Kidd
Context triple: [Warlight, coverArtist, Chip Kidd]
  • A. Chip Kidd chosen
    Chip Kidd is an acclaimed American graphic designer and author best known for his influential and inventive book cover designs.
  • B. Victor Kilian
    Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
  • C. Mike Gill
    Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
  • D. Michael Burger
    Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
  • E. Ivan Chermayeff
    Ivan Chermayeff was a prominent American graphic designer and artist renowned for his influential corporate logos and visual identities, including work for major institutions and global brands.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b5b43081908641a5abfb08dc2b completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:06 p.m.