Triple

T10477617
Position Surface form Disambiguated ID Type / Status
Subject Why Me E247085 entity
Predicate recordLabel P1500 FINISHED
Object Monument Records E333582 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: Monument Records | Statement: [Why Me, recordLabel, Monument Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monument Records
Context triple: [Why Me, 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. 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.
  • C. 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.
  • D. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • E. MCA Records
    MCA Records was a major American record label known for releasing music by prominent rock, pop, and country artists throughout the latter half of the 20th century.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509596a088190895199648ccf91a4 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933b40ff8819097e994a496228b7d completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:21 p.m.