Triple
T30467105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter to Three |
E775174
|
entity |
| Predicate | associatedProducerScene |
P207275
|
FINISHED |
| Object | Norfolk sound of Frank Guida |
—
|
LITERAL 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: Norfolk sound of Frank Guida | Statement: [Quarter to Three, associatedProducerScene, Norfolk sound of Frank Guida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProducerScene Context triple: [Quarter to Three, associatedProducerScene, Norfolk sound of Frank Guida]
-
A.
associatedProducerCollective
Indicates a relationship where an entity is linked to, or works in connection with, a specific producer collective.
-
B.
associatedProduction
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
-
C.
associatedWithKeyScene
Indicates that something is linked or connected to a specific key scene, typically as a relevant element, feature, or reference.
-
D.
sceneAssociation
Indicates a contextual or thematic relationship linking entities that co-occur or interact within the same scene.
-
E.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
- F. None of above. chosen
Provenance (4 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:11 p.m.