Triple
T9574774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MyNetworkTV |
E231017
|
entity |
| Predicate | changeOfFormat |
P27688
|
FINISHED |
| Object | shifted to syndicated programming in 2009 |
—
|
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: shifted to syndicated programming in 2009 | Statement: [MyNetworkTV, changeOfFormat, shifted to syndicated programming in 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeOfFormat Context triple: [MyNetworkTV, changeOfFormat, shifted to syndicated programming in 2009]
-
A.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
-
B.
mostRecentFormatChange
chosen
Indicates the most recent modification made to the format or structure of an entity, relative to all prior format changes.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
E.
changedFrom
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aa964c8190a50717edff30f10b |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.