Triple
T19576528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manish Sisodia |
E489869
|
entity |
| Predicate | previousEmployer |
P1910
|
FINISHED |
| Object | Zee News |
—
|
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: Zee News | Statement: [Manish Sisodia, previousEmployer, Zee News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zee News Context triple: [Manish Sisodia, previousEmployer, Zee News]
-
A.
Zee Network
chosen
Zee Network is a major Indian television broadcasting network known for its wide range of entertainment, news, and regional language channels.
-
B.
NDTV
NDTV is a prominent Indian news media company best known for its nationwide television news channels and digital journalism platforms.
-
C.
Sansad TV
Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
-
D.
Mu.ZEE
Mu.ZEE is a modern and contemporary art museum in Ostend, Belgium, renowned for its extensive collection of Belgian art from the late 19th century to today.
-
E.
Vijay TV
Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64024c5b08190bbff6df633857874 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.