Triple

T8543247
Position Surface form Disambiguated ID Type / Status
Subject Elegy (track) E202250 entity
Predicate hasArtist P5936 FINISHED
Object J. Matthew Weed E740684 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: J. Matthew Weed | Statement: [Elegy (track), hasArtist, J. Matthew Weed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Matthew Weed
Context triple: [Elegy (track), hasArtist, J. Matthew Weed]
  • A. J. Matthew Weed chosen
    J. Matthew Weed is a musician known for performing the track "Elegy."
  • B. Jonathan Weed
    Jonathan Weed is an individual known primarily from contextual references, with no widely documented public profile or notable biographical details available.
  • C. Jesse K. Dubois
    Jesse K. Dubois was an Illinois politician and close ally of Abraham Lincoln who served as the state's auditor of public accounts in the mid-19th century.
  • D. Andrew VanWyngarden
    Andrew VanWyngarden is an American musician best known as the lead vocalist, guitarist, and co-founder of the psychedelic pop band MGMT.
  • E. Henry Ian Cusick
    Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e381d4819084e230389a3ecb77 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce891a1fac8190bcae4063b24c760a completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.