Triple
T33770457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evey Hammond |
E865363
|
entity |
| Predicate | voiceAccentInFilm |
P61298
|
FINISHED |
| Object | English accent (Natalie Portman) |
—
|
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: English accent (Natalie Portman) | Statement: [Evey Hammond, voiceAccentInFilm, English accent (Natalie Portman)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceAccentInFilm Context triple: [Evey Hammond, voiceAccentInFilm, English accent (Natalie Portman)]
-
A.
voiceActorAccent
chosen
Indicates that a voice actor performs their role using a specified accent.
-
B.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
C.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
D.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
E.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 1:45 a.m.