Triple

T11344281
Position Surface form Disambiguated ID Type / Status
Subject A Beautiful Mine E268677 entity
Predicate hasProducer P30366 FINISHED
Object RJD2 E268678 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: RJD2 | Statement: [A Beautiful Mine, hasProducer, RJD2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RJD2
Context triple: [A Beautiful Mine, hasProducer, RJD2]
  • A. RJD2 chosen
    RJD2 is an American producer and DJ known for his eclectic, sample-based instrumental hip hop and electronic music, including the track used as the opening theme for the TV series "Mad Men."
  • B. Godrich
    Godrich is the surname of Nigel Godrich, the renowned English record producer best known for his work with Radiohead.
  • C. Rustie
    Rustie is a Scottish electronic music producer and DJ known for his maximalist, genre-blending sound and influential releases on the LuckyMe label.
  • D. Junkie XL
    Junkie XL, also known as Tom Holkenborg, is a Dutch composer, multi-instrumentalist, and producer renowned for his high-energy film scores and electronic music work.
  • E. DJ Dahi
    DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7d91168819096823e59a63ec24d completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:33 p.m.