Triple
T14015949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNTSAT |
E337203
|
entity |
| Predicate | broadcasts |
P833
|
FINISHED |
| Object | TNT channels |
E1062711
|
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: TNT channels | Statement: [TNTSAT, broadcasts, TNT channels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNT channels Context triple: [TNTSAT, broadcasts, TNT channels]
-
A.
TNT network
TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
-
B.
TET TV channel
TET TV channel is a Ukrainian entertainment television network known for broadcasting a mix of comedy, series, and lifestyle programming.
-
C.
TNT (Télévision Numérique Terrestre)
chosen
TNT (Télévision Numérique Terrestre) is France’s nationwide digital terrestrial television platform that delivers free-to-air and pay TV channels over the air using digital broadcasting.
-
D.
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.
-
E.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.