Triple
T14874337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MeTV |
E349826
|
entity |
| Predicate | hasSisterNetwork |
P6991
|
FINISHED |
| Object | Start TV |
E143364
|
NE 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: Start TV | Statement: [MeTV, hasSisterNetwork, Start TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Start TV Context triple: [MeTV, hasSisterNetwork, Start TV]
-
A.
Start TV
chosen
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
B.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
C.
QTV
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
-
D.
Ion Television
Ion Television is an American broadcast television network known for airing syndicated dramas, crime procedurals, and other off-network series in a largely rerun-focused schedule.
-
E.
SFR TV
SFR TV is a French internet television and multimedia service offered by the telecom operator SFR, providing live channels, on-demand content, and interactive features over broadband.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.