Triple
T24061115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Return of the Vampire |
E595954
|
entity |
| Predicate | isTalkingFilm |
P11914
|
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 Return of the Vampire, isTalkingFilm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTalkingFilm Context triple: [The Return of the Vampire, isTalkingFilm, true]
-
A.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
B.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
-
C.
isTalkingPicture
chosen
Indicates that the subject is a motion picture that includes synchronized recorded sound, especially spoken dialogue.
-
D.
studioFilm
Indicates that a film is produced, distributed, or otherwise created by a particular studio.
-
E.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da55903c8190ad5d578e33a9dae9 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:38 p.m.