Triple
T32042033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Jean Moss |
E818241
|
entity |
| Predicate | accentInFilm |
P61298
|
FINISHED |
| Object | Texan Southern American English |
—
|
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: Texan Southern American English | Statement: [Carla Jean Moss, accentInFilm, Texan Southern American English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accentInFilm Context triple: [Carla Jean Moss, accentInFilm, Texan Southern American English]
-
A.
voiceActorAccent
chosen
Indicates that a voice actor performs their role using a specified accent.
-
B.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
C.
basedInFilmLanguage
Indicates that something is created, presented, or expressed using the language employed in a particular film.
-
D.
accentStyle
Indicates the manner or pattern in which an entity’s accent or emphasis is applied or presented.
-
E.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4bcc61c8190a90130852b240b6a |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:19 a.m.