Triple

T8130382
Position Surface form Disambiguated ID Type / Status
Subject Treacle Walker E189837 entity
Predicate hasCoverArtist P5936 FINISHED
Object Andrew Davidson E535391 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: Andrew Davidson | Statement: [Treacle Walker, hasCoverArtist, Andrew Davidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Davidson
Context triple: [Treacle Walker, hasCoverArtist, Andrew Davidson]
  • A. Andrew Davidson chosen
    Andrew Davidson is a British illustrator and artist known for his detailed wood-engraving style used in book covers and classic literary editions.
  • B. Jim Davidson
    Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
  • C. William Lee Davidson
    William Lee Davidson was an American Revolutionary War officer from North Carolina who was killed in battle in 1781 and later honored as the namesake of Davidson County.
  • D. Andrew Dawson
    Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
  • E. Gary Davidson
    Gary Davidson is an American sports entrepreneur and attorney best known for co-founding several upstart professional leagues, including the American Basketball Association.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b7dbd881908a80f23090596eae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.