Triple
T18177154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elka Ostrovsky |
E435191
|
entity |
| Predicate | originalChannel |
P2595
|
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: [Elka Ostrovsky, originalChannel, TV Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Land Context triple: [Elka Ostrovsky, originalChannel, TV Land]
-
A.
TV Land
chosen
TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
-
B.
Nick at Nite
Nick at Nite is an American nighttime programming block known for airing classic and syndicated sitcoms on the Nickelodeon channel.
-
C.
MeTV
MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
-
D.
TV One
TV One is an American cable television network that primarily targets African American audiences with a mix of original series, movies, and lifestyle programming.
-
E.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.