Triple

T16038369
Position Surface form Disambiguated ID Type / Status
Subject Doolittle E389025 entity
Predicate coverArtBy P15267 FINISHED
Object Simon Larbalestier E430188 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: Simon Larbalestier | Statement: [Doolittle, coverArtBy, Simon Larbalestier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Larbalestier
Context triple: [Doolittle, coverArtBy, Simon Larbalestier]
  • A. Simon Larbalestier chosen
    Simon Larbalestier is a British photographer best known for his surreal, atmospheric imagery on album covers, particularly for the alternative rock band Pixies.
  • B. Simon Dutton
    Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
  • C. Jason Kingsley
    Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
  • D. Jonathan Rees
    Jonathan Rees is a computer scientist and software engineer known for his contributions to the Scheme programming language and programming language theory.
  • E. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833eb90c8190b10dca3ce0793ddf completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd5acb48190a10e40074fffd425 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.