Triple
T4870542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner Classic Movies |
E109074
|
entity |
| Predicate | originalPictureFormat |
P13218
|
FINISHED |
| Object | 480i SDTV |
—
|
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: 480i SDTV | Statement: [Turner Classic Movies, originalPictureFormat, 480i SDTV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPictureFormat Context triple: [Turner Classic Movies, originalPictureFormat, 480i SDTV]
-
A.
formerPictureFormat
Indicates that an entity previously used a particular picture format before changing to a different one.
-
B.
typicalPictureFormat
chosen
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
C.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
D.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
E.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.