Triple

T22395666
Position Surface form Disambiguated ID Type / Status
Subject Empire Falls E553621 entity
Predicate coverArtist P184 FINISHED
Object Chip Kidd 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: Chip Kidd | Statement: [Empire Falls, coverArtist, Chip Kidd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chip Kidd
Context triple: [Empire Falls, 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. Michael Bierut
    Michael Bierut is a prominent American graphic designer, design critic, and educator known for his influential work at Pentagram and his leadership in contemporary design discourse.
  • C. Stefan Sagmeister
    Stefan Sagmeister is an Austrian-born graphic designer renowned for his innovative, often provocative album cover designs and influential work in contemporary visual communication.
  • D. Victor Kilian
    Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
  • E. Paula Scher
    Paula Scher is an influential American graphic designer and Pentagram partner renowned for her bold typographic style and iconic identity and environmental graphics for major cultural institutions and brands.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.