Triple

T13696502
Position Surface form Disambiguated ID Type / Status
Subject Aceyalone E328397 entity
Predicate associatedAct P37 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: [Aceyalone, associatedAct, RJD2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RJD2
Context triple: [Aceyalone, associatedAct, 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.