Triple
T19294998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delirious New York |
E482539
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Manhattan |
—
|
NE NERFINISHED |
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: Manhattan | Statement: [Delirious New York, setIn, Manhattan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manhattan Context triple: [Delirious New York, setIn, Manhattan]
-
A.
Manhattan
chosen
Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
-
B.
Manhattan
The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
-
C.
Manhattan
Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
-
D.
Manhatta
Manhatta is a pioneering 1921 avant-garde short film that poetically depicts New York City through experimental cinematography and urban imagery.
-
E.
New York City
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.