Triple

T1749496
Position Surface form Disambiguated ID Type / Status
Subject Spectral E38405 entity
Predicate musicBy P1952 FINISHED
Object Junkie XL E195754 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: Junkie XL | Statement: [Spectral, musicBy, Junkie XL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junkie XL
Context triple: [Spectral, musicBy, Junkie XL]
  • A. Junkie XL chosen
    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.
  • B. St. Lunatics
    St. Lunatics is a hip hop group from St. Louis, Missouri, best known for launching the career of rapper Nelly and for their early-2000s chart successes.
  • C. Cappadonna
    Cappadonna is an American rapper best known as a longtime affiliate and later official member of the Wu-Tang Clan.
  • D. Chingy
    Chingy is an American rapper and actor best known for his early-2000s hit singles like "Right Thurr" and his association with the Disturbing tha Peace label.
  • E. Canibus
    Canibus is an American rapper known for his complex, battle-oriented lyricism and technically intricate rhyme schemes.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada989b368819098b788d099f2f8e4 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.