Triple
T4358746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desire |
E98613
|
entity |
| Predicate | genre |
P14
|
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: [Desire, genre, Americana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Americana Context triple: [Desire, genre, Americana]
-
A.
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.
-
B.
Americana
Americana is Don DeLillo’s debut novel, a satirical exploration of American media culture, identity, and the emptiness beneath corporate and consumer life.
-
C.
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.
-
D.
Americana
Americana is a themed section of the Worlds of Fun amusement park that evokes classic American culture and atmosphere.
-
E.
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.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5d00e20819095114787f95e3858 |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:16 p.m.