Triple
T21811757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fados |
E538490
|
entity |
| Predicate | usesArchiveFootage |
P22752
|
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: [Fados, usesArchiveFootage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesArchiveFootage Context triple: [Fados, usesArchiveFootage, true]
-
A.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
includesNewFootageWith
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
C.
mediaArm
Indicates that one entity functions as the media-focused arm, division, or subsidiary of another entity.
-
D.
originalFootageFilmedInYear
Indicates that the original footage associated with an entity was filmed in the specified year.
-
E.
usesImagery
Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.