Triple
T30913090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Walton |
E787509
|
entity |
| Predicate | filmSoundContext |
P171104
|
FINISHED |
| Object | silent |
—
|
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: silent | Statement: [Mrs. Walton, filmSoundContext, silent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSoundContext Context triple: [Mrs. Walton, filmSoundContext, silent]
-
A.
filmSoundtrackFor
Indicates that a particular soundtrack is created for, associated with, or used as the official musical accompaniment to a specific film.
-
B.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
C.
filmMusicBy
Indicates that a film’s musical score or soundtrack was composed or created by a particular person or group.
-
D.
soundtrackFeatures
Indicates that a particular soundtrack includes or showcases a given piece of music, artist, or audio element as part of its content.
-
E.
soundtrackType
Indicates the specific category or format of a soundtrack associated with a work, such as score, compilation, or original soundtrack.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 29, 2026, 8:51 p.m.