Triple
T19576502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manish Sisodia |
E489869
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Manish Sisodia |
—
|
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: Manish Sisodia | Statement: [Manish Sisodia, name, Manish Sisodia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manish Sisodia Context triple: [Manish Sisodia, name, Manish Sisodia]
-
A.
Manish Sisodia
chosen
Manish Sisodia is an Indian politician and former Deputy Chief Minister of Delhi, known for his key role in education reforms and leadership within the Aam Aadmi Party.
-
B.
Arvind Kejriwal
Arvind Kejriwal is an Indian politician, activist, and leader of the Aam Aadmi Party known for his anti-corruption stance and tenure as Chief Minister of Delhi.
-
C.
Pulkit Kejriwal
Pulkit Kejriwal is the son of Indian politician and Delhi Chief Minister Arvind Kejriwal.
-
D.
Bhupinder Singh Hooda
Bhupinder Singh Hooda is an Indian National Congress politician who served multiple terms as the Chief Minister of the northern Indian state of Haryana.
-
E.
Amit Shah
Amit Shah is a British actor known for his work in film, television, and theatre, including roles in productions such as "The Hundred-Foot Journey" and various UK TV series.
- 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.