Triple

T2258058
Position Surface form Disambiguated ID Type / Status
Subject War & Leisure E49772 entity
Predicate producer P490 FINISHED
Object Pop & Oak E249523 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: Pop & Oak | Statement: [War & Leisure, producer, Pop & Oak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop & Oak
Context triple: [War & Leisure, producer, Pop & Oak]
  • A. Pop & Oak chosen
    Pop & Oak is an American songwriting and production duo known for crafting contemporary R&B and pop hits for artists such as Miguel, Nicki Minaj, and Alessia Cara.
  • B. Hackett
    Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • C. Hackett
    Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
  • D. Rockpile
    Rockpile is a renowned American Viticultural Area in Sonoma County, California, known for its high-elevation vineyards and intensely flavored Zinfandel wines.
  • E. Godley & Creme
    Godley & Creme were an English rock duo and innovative music video directors, best known for their work with 10cc and for pioneering visually inventive videos in the 1980s.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f067f208190a399e2b1a83badd1 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.