Triple

T3281828
Position Surface form Disambiguated ID Type / Status
Subject End Zone E68888 entity
Predicate follows P134 FINISHED
Object Americana 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 | Statement: [End Zone, follows, Americana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Americana
Context triple: [End Zone, follows, Americana]
  • 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 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.
  • C. Americana
    Americana is Don DeLillo’s debut novel, a satirical exploration of American media culture, identity, and the emptiness beneath corporate and consumer life.
  • D. Southern rock
    Southern rock is a subgenre of rock music that blends rock and roll with country, blues, and boogie influences, and is strongly associated with the American South.
  • E. Country Sunshine
    "Country Sunshine" is a popular 1973 country song by American singer Dottie West, known for its warm, nostalgic lyrics and its use in a well-known Coca-Cola commercial.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb032d76c81909c568a4e56d12ce9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85528c88190b1e98c680baf3fa8 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.