Triple

T17379193
Position Surface form Disambiguated ID Type / Status
Subject Fly E422521 entity
Predicate recordLabel P1500 FINISHED
Object Monument Records 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: Monument Records | Statement: [Fly, recordLabel, Monument Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monument Records
Context triple: [Fly, recordLabel, Monument Records]
  • A. Monument Records chosen
    Monument Records is an American record label best known for releasing influential pop and country music, including many of Roy Orbison’s classic hits.
  • B. Peak Records
    Peak Records is a contemporary jazz and smooth jazz record label known for releasing albums by artists such as saxophonist Eric Marienthal.
  • C. Muse Records
    Muse Records was an American jazz record label known for its extensive catalog of hard bop, post-bop, and avant-garde recordings from the 1970s and 1980s.
  • D. Maverick Records
    Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
  • E. Lex Records
    Lex Records is an independent British record label known for releasing innovative hip hop and experimental music from artists such as Danger Mouse, MF DOOM, and BADBADNOTGOOD.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a840cd08190af3385388afb8c8f completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.