Triple
T23906153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonidas Frank Chaney |
E601202
|
entity |
| Predicate | firstSoundFilm |
P154034
|
FINISHED |
| Object | The Unholy Three (1930 film) |
—
|
NE NERFINISHED |
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: The Unholy Three (1930 film) | Statement: [Leonidas Frank Chaney, firstSoundFilm, The Unholy Three (1930 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSoundFilm Context triple: [Leonidas Frank Chaney, firstSoundFilm, The Unholy Three (1930 film)]
-
A.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
B.
firstFeatureAnimatedFilm
Indicates that the subject is the first animated feature film associated with, or fulfilling a particular role or distinction for, the object.
-
C.
soundFilm
Indicates that a film includes synchronized recorded sound, such as dialogue, music, or effects, rather than being silent.
-
D.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
E.
firstFeatureFilmWithRecordedScore
Indicates that the subject is the first feature film to have a musical score that was recorded and synchronized specifically for it.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce91144c8190b894e25a45dfd7c9 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:35 p.m.