Triple

T9506341
Position Surface form Disambiguated ID Type / Status
Subject Michael Ronstadt E229278 entity
Predicate genre P14 FINISHED
Object Americana music E47520 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: Americana music | Statement: [Michael Ronstadt, genre, Americana music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Americana music
Context triple: [Michael Ronstadt, genre, Americana music]
  • A. Americana
    Americana is a mid-sized industrial city in the interior of Brazil’s state of São Paulo, known for its textile industry and strong Italian immigrant heritage.
  • B. Americana
    Americana is a themed section of the Worlds of Fun amusement park that evokes classic American culture and atmosphere.
  • C. Americana
    "Americana" is a 1998 punk rock album by The Offspring that helped cement the band's mainstream success with hits like "Pretty Fly (for a White Guy)" and "The Kids Aren't Alright."
  • D. Americana
    Americana is a category of cultural artifacts, literature, and historical materials that reflect the history, folklore, and heritage of the United States.
  • E. Americana chosen
    Americana is a contemporary music genre that blends elements of country, folk, blues, and roots rock to evoke traditional American musical styles and storytelling.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a1de2d88190a6a10379d2297510 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.