Triple

T8696151
Position Surface form Disambiguated ID Type / Status
Subject The Postal Service E206408 entity
Predicate hasMember P10 FINISHED
Object Jimmy Tamborello E750198 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: Jimmy Tamborello | Statement: [The Postal Service, hasMember, Jimmy Tamborello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Tamborello
Context triple: [The Postal Service, hasMember, Jimmy Tamborello]
  • A. Jimmy Tamborello chosen
    Jimmy Tamborello is an American electronic musician and producer best known for his work as Dntel and as the producer behind The Postal Service’s acclaimed album "Give Up."
  • B. Skrillex
    Skrillex is an American DJ, record producer, and musician known for popularizing dubstep and electronic dance music through his aggressive, bass-heavy sound and high-energy performances.
  • C. Benny Benassi
    Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
  • D. Armand Van Helden
    Armand Van Helden is an American DJ, producer, and remixer known as a leading figure in house music since the 1990s, with hits like "You Don't Know Me" and "My My My."
  • E. A-Trak
    A-Trak is a Canadian DJ, turntablist, and record producer known for his championship-level scratching skills and influential work in electronic and hip-hop music.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582996a0819097ad03097ad1f103 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28958ba481908383e31802ce2093 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:34 p.m.