Triple

T5530351
Position Surface form Disambiguated ID Type / Status
Subject Steely Dan E145030 entity
Predicate recordLabel P1500 FINISHED
Object ABC Records E33224 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: ABC Records | Statement: [Steely Dan, recordLabel, ABC Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC Records
Context triple: [Steely Dan, recordLabel, ABC Records]
  • A. ABC Records chosen
    ABC Records was a prominent American record label known for releasing influential blues, jazz, and pop recordings, including notable works by B.B. King.
  • B. CBS Records
    CBS Records was a major American record label and music company that played a significant role in the development and promotion of popular music in the 20th century.
  • C. Atlantic Records
    Atlantic Records is a major American record label known for its influential roster of artists across genres such as rock, pop, R&B, and hip-hop.
  • D. RCA Records
    RCA Records is a major American record label, historically influential in popular music and home to numerous iconic artists across genres.
  • E. Apple Records
    Apple Records is the record label founded by The Beatles in 1968 as part of their multimedia company Apple Corps, known for releasing much of the band’s later work and various solo projects.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9742fd0dc8190a154cf83c87eb508 completed March 29, 2026, 6:49 p.m.
Created at: March 22, 2026, 3:34 p.m.