Triple
T31711493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Gardner |
E809331
|
entity |
| Predicate | originalChannelOfShow |
P16461
|
FINISHED |
| Object | TV Land |
—
|
NE NERFINISHED |
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: TV Land | Statement: [Stuart Gardner, originalChannelOfShow, TV Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChannelOfShow Context triple: [Stuart Gardner, originalChannelOfShow, TV Land]
-
A.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
formerChannelNumber
Indicates that an entity was previously assigned or used a particular channel number before a change to its current channel designation.
-
C.
originalChannelBlock
Indicates that one channel or source is the initial or primary origin from which another channel, block, or content segment is derived or constructed.
-
D.
originalChannelCategory
Indicates the category or type of channel an item or communication originally belonged to before any changes or reclassification.
-
E.
firstAiredOnChannel
chosen
Indicates the original broadcast channel on which a program or episode was first aired.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a011e5a419081908d06a07b395ebd97 |
completed | May 11, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_6a011de119048190b27d361cffabc228 |
completed | May 11, 2026, 12:08 a.m. |
Created at: April 30, 2026, 11:15 p.m.