Triple
T31525053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cooler (film score) |
E804314
|
entity |
| Predicate | composedForLocation |
P20250
|
FINISHED |
| Object | Las Vegas |
—
|
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: Las Vegas | Statement: [The Cooler (film score), composedForLocation, Las Vegas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedForLocation Context triple: [The Cooler (film score), composedForLocation, Las Vegas]
-
A.
composedFor
Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
-
B.
composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
-
C.
posedAtLocation
Indicates that an entity is positioned or arranged in a deliberate pose at a specific location.
-
D.
composedIn
chosen
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
E.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
- F. None of above.
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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 30, 2026, 9:58 p.m.