Triple
T38089296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salute |
E951065
|
entity |
| Predicate | soundFilmStatus |
P25500
|
FINISHED |
| Object | early part-talkie era 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: early part-talkie era film | Statement: [Salute, soundFilmStatus, early part-talkie era film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundFilmStatus Context triple: [Salute, soundFilmStatus, early part-talkie era film]
-
A.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
B.
soundFilm
chosen
Indicates that a film includes synchronized recorded sound, such as dialogue, music, or effects, rather than being silent.
-
C.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
D.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
E.
statusDuringFilm
Indicates that a particular status or condition holds for an entity during the time span in which a specified film takes place or is being made.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.