Triple
T21615001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Branded Woman |
E533411
|
entity |
| Predicate | isAmericanSilentDramaFilm |
P17467
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Branded Woman, isAmericanSilentDramaFilm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmericanSilentDramaFilm Context triple: [The Branded Woman, isAmericanSilentDramaFilm, true]
-
A.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
B.
soundFilm
Indicates that a film includes synchronized recorded sound, such as dialogue, music, or effects, rather than being silent.
-
C.
earlyNotableFilm
Indicates that the film is among the earlier works in which the subject gained notable recognition or significance.
-
D.
silentWithIntertitles
chosen
Indicates that a work is a silent production that conveys dialogue or narrative information through intertitles rather than synchronized spoken sound.
-
E.
isFromFilm
Indicates that something (such as a quote, character, scene, or element) originates from or appears in a particular film.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba9aca48190b5180eefd61a9fdc |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.