Triple
T33799665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Caine as Jack Carter |
E866177
|
entity |
| Predicate | accentOrSpeechStyle |
P119738
|
FINISHED |
| Object | Cockney |
—
|
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: Cockney | Statement: [Michael Caine as Jack Carter, accentOrSpeechStyle, Cockney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accentOrSpeechStyle Context triple: [Michael Caine as Jack Carter, accentOrSpeechStyle, Cockney]
-
A.
accentStyle
chosen
Indicates the manner or pattern in which an entity’s accent or emphasis is applied or presented.
-
B.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
C.
artisticVocalStyle
Indicates a relationship where an entity’s vocal performance is characterized by a particular artistic style or expressive manner of singing or speaking.
-
D.
commentarialStyle
Indicates the manner or approach taken in writing or presenting commentary on a text, event, or subject.
-
E.
stylisticElement
Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.