Triple
T15949833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We TV |
E386785
|
entity |
| Predicate | laterRenamed |
P3432
|
FINISHED |
| Object | We TV |
E386785
|
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: We TV | Statement: [We TV, laterRenamed, We TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We TV Context triple: [We TV, laterRenamed, We TV]
-
A.
We TV
chosen
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
B.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
C.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
D.
EE TV
EE TV is a UK-based digital television and streaming service offered by the mobile network operator EE, providing access to live channels, on-demand content, and premium sports and entertainment.
-
E.
TVN
TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe78a76481909622d7a2443cba4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.