Triple
T13036392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Baxter |
E326570
|
entity |
| Predicate | broadcastFormatOfSeries |
P40937
|
FINISHED |
| Object | half-hour sitcom |
—
|
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: half-hour sitcom | Statement: [Ted Baxter, broadcastFormatOfSeries, half-hour sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastFormatOfSeries Context triple: [Ted Baxter, broadcastFormatOfSeries, half-hour sitcom]
-
A.
broadcastsInFormat
Indicates that a broadcasting entity transmits its content using a specified technical format or standard.
-
B.
typicalBroadcastFormat
chosen
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
-
C.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
D.
permanentFormatFromSeason
Indicates that a permanent format or structure is derived from, or established based on, a particular season.
-
E.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:55 p.m.