Triple
T29403199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mix |
E745706
|
entity |
| Predicate | transitionedToSoundFilm |
P194010
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tom Mix, transitionedToSoundFilm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionedToSoundFilm Context triple: [Tom Mix, transitionedToSoundFilm, yes]
-
A.
firstSoundFilm
Indicates that the subject is the earliest film to incorporate synchronized recorded sound (as opposed to being a silent film).
-
B.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
C.
soundFilm
Indicates that a film includes synchronized recorded sound, such as dialogue, music, or effects, rather than being silent.
-
D.
hasSoundStages
Indicates that one entity possesses, contains, or is equipped with sound stages used for audio and film/TV production.
-
E.
silentFilm
Indicates that a film is produced without synchronized recorded dialogue, relying instead on visuals and intertitles to convey the story.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 28, 2026, 2:52 p.m.