Triple

T17208988
Position Surface form Disambiguated ID Type / Status
Subject Byron Stingily E417673 entity
Predicate associatedAct P37 FINISHED
Object Louie Vega E1059521 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: Louie Vega | Statement: [Byron Stingily, associatedAct, Louie Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louie Vega
Context triple: [Byron Stingily, associatedAct, Louie Vega]
  • A. Louie Vega chosen
    Louie Vega is a renowned American DJ and producer, best known as one half of the influential house music duo Masters at Work.
  • B. Gui Boratto
    Gui Boratto is a Brazilian electronic music producer and DJ known for his melodic techno and house productions and remixes.
  • C. Benny Benassi
    Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
  • D. Massimo Serato
    Massimo Serato was an Italian film actor known for his prolific career in European cinema from the 1940s through the 1970s.
  • E. Carl Cox
    Carl Cox is a pioneering British DJ and producer renowned for his influential role in the global techno and house scenes and his legendary festival and club performances.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc3b0ec8190b8c9fc401da5770c completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe0a28c8190a76b3a356f7e0478 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.