Triple
T9755166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Macdonald as Merida |
E236535
|
entity |
| Predicate | voiceActingMedium |
P43874
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Kelly Macdonald as Merida, voiceActingMedium, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActingMedium Context triple: [Kelly Macdonald as Merida, voiceActingMedium, film]
-
A.
voiceActingRoleIn
chosen
Indicates that an entity performs a voice acting role in a specified work or production.
-
B.
voiceActingRole
Indicates that one entity performs the voice acting for a character or role in a work associated with the other entity.
-
C.
voiceActingChange
Indicates that the voice actor associated with an entity has been changed from one performer to another.
-
D.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
E.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb1370c8190bc153db8cababc62 |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.