Triple

T5761889
Position Surface form Disambiguated ID Type / Status
Subject Al Hirt E127113 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: [Al Hirt, recordLabel, Monument Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monument Records
Context triple: [Al Hirt, 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. 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.
  • C. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • D. 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.
  • E. Curb Records
    Curb Records is an American independent record label known for its roster of country and Christian music artists, including LeAnn Rimes.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02939b22c81908f8354ab175d168d completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1353095c08190b07bcc1299ed7f20 completed March 23, 2026, 12:42 p.m.
Created at: March 22, 2026, 3:49 p.m.