Triple
T22105393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Times Group |
E546271
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | ET Now |
—
|
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: ET Now | Statement: [The Times Group, notableWork, ET Now]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ET Now Context triple: [The Times Group, notableWork, ET Now]
-
A.
ET Now
chosen
ET Now is an Indian business and financial news television channel that provides market updates, economic analysis, and corporate coverage.
-
B.
Times Now
Times Now is an Indian English-language news television channel known for its aggressive, debate-driven coverage of national and political issues.
-
C.
ETNT
ETNT is the ICAO airport code assigned to Wittmundhafen Air Base, a German military airfield.
-
D.
ES.TV
ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
-
E.
The Now Show
The Now Show is a long-running BBC Radio 4 comedy series that satirically reviews the week's news through sketches, stand-up, and musical segments.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.