Triple

T11126005
Position Surface form Disambiguated ID Type / Status
Subject Gram Parsons E263140 entity
Predicate influenced P9 FINISHED
Object Alt-country genre 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: Alt-country genre | Statement: [Gram Parsons, influenced, Alt-country genre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt-country genre
Context triple: [Gram Parsons, influenced, Alt-country genre]
  • 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 category of cultural artifacts, literature, and historical materials that reflect the history, folklore, and heritage of the United States.
  • C. 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.
  • D. Americana
    Americana is Don DeLillo’s debut novel, a satirical exploration of American media culture, identity, and the emptiness beneath corporate and consumer life.
  • E. Americana
    Americana is a themed section of the Worlds of Fun amusement park that evokes classic American culture and atmosphere.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d89378c8190acc7afd1ecdbfbac completed April 19, 2026, 1:19 a.m.
Created at: April 8, 2026, 9:28 p.m.