Triple
T23190657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Knight |
E579722
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | HGTV |
—
|
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: HGTV | Statement: [Jonathan Knight, network, HGTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HGTV Context triple: [Jonathan Knight, network, HGTV]
-
A.
HGTV
chosen
HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
-
B.
HGTV Canada
HGTV Canada is a Canadian specialty television channel focused on home improvement, renovation, and real estate programming.
-
C.
HGTV Star
HGTV Star is a reality competition television series on HGTV in which aspiring designers showcase their skills to win professional design opportunities and on-air exposure.
-
D.
DIY Network
DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
-
E.
HGTV Design Star
HGTV Design Star is a reality competition television series on HGTV in which aspiring interior designers compete in design challenges for their own show on the network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.