Triple
T13994044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy (2015 documentary film) |
E336649
|
entity |
| Predicate | usesFootage |
P22752
|
FINISHED |
| Object | archival footage |
—
|
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: archival footage | Statement: [Amy (2015 documentary film), usesFootage, archival footage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFootage Context triple: [Amy (2015 documentary film), usesFootage, archival footage]
-
A.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
usesMusicVideo
Indicates that one entity incorporates or features another entity as a music video.
-
C.
originalFootageFilmedInYear
Indicates that the original footage associated with an entity was filmed in the specified year.
-
D.
usesImagery
Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
-
E.
usesFilmFormat
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.