Triple
T14957441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy on the Street |
E372967
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | truTV |
E3615
|
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: truTV | Statement: [Billy on the Street, originalNetwork, truTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: truTV Context triple: [Billy on the Street, originalNetwork, truTV]
-
A.
truTV
chosen
truTV is an American cable television channel owned by Warner Bros. Discovery, best known for reality-based programming, comedy, and live sports coverage including NCAA March Madness games.
-
B.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
-
C.
Rec TV
Rec TV is a television channel associated with Chile’s Canal 13 network, typically used to air archived or complementary programming.
-
D.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
E.
TRT
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9e74fc8190bdd10a25c39829f3 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.