Triple
T68347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedy Center Honors |
E1364
|
entity |
| Predicate | broadcastFormat |
P130
|
FINISHED |
| Object | television special |
—
|
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: television special | Statement: [Kennedy Center Honors, broadcastFormat, television special]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastFormat Context triple: [Kennedy Center Honors, broadcastFormat, television special]
-
A.
broadcastNetwork
Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
-
B.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
broadcastRegion
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
D.
broadcastAntenna
Indicates that an entity functions as a broadcast antenna used to transmit signals over a distance.
-
E.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea8cfd081908a26edad2473dde3 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.