Triple

T6490029
Position Surface form Disambiguated ID Type / Status
Subject Apple Records E148011 entity
Predicate notableArtist P601 FINISHED
Object Badfinger E591433 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: Badfinger | Statement: [Apple Records, notableArtist, Badfinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badfinger
Context triple: [Apple Records, notableArtist, Badfinger]
  • A. Badfinger chosen
    Badfinger was a British rock band formed in the 1960s, best known for their melodic power pop sound and influential hits under the Apple Records label.
  • B. Bad Company
    "Bad Company" is a 1995 American neo-noir thriller film featuring Michael Beach in a supporting role.
  • C. Bad Company
    Bad Company is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in a high-stakes conspiracy involving wartime secrets and modern power struggles.
  • D. Uriah Heep
    Uriah Heep is a famously obsequious and manipulative clerk-turned-villain in Charles Dickens’s novel "David Copperfield."
  • E. Roxy Music
    Roxy Music is an influential English art rock band formed in the early 1970s, known for their innovative blend of glam rock, avant-garde style, and sophisticated pop.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9926fc81909db0f390e385e97d completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653ba03288190ba4e4ce99d0ba32e completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:52 p.m.