Triple
T14808132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando Breakers |
E348095
|
entity |
| Predicate | formatOfDepiction |
P80112
|
FINISHED |
| Object | live-action television |
—
|
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: live-action television | Statement: [Orlando Breakers, formatOfDepiction, live-action television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatOfDepiction Context triple: [Orlando Breakers, formatOfDepiction, live-action television]
-
A.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
B.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
C.
portrayalFormat
chosen
Indicates the medium or format in which something is portrayed or represented (e.g., painting, sculpture, film, digital).
-
D.
primaryMediumOfDepiction
Indicates that a specified medium (such as painting, sculpture, or photography) is the main form through which an entity is depicted.
-
E.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:44 a.m.