Triple
T8636033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maneka Gandhi |
E204524
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Maneka Anand |
E204524
|
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: Maneka Anand | Statement: [Maneka Gandhi, birthName, Maneka Anand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maneka Anand Context triple: [Maneka Gandhi, birthName, Maneka Anand]
-
A.
Maneka Gandhi
chosen
Maneka Gandhi is an Indian politician, animal rights activist, and longtime member of parliament known for her work on environmental and animal welfare issues.
-
B.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
C.
Neena Gupta
Neena Gupta is an acclaimed Indian film, television, and theatre actress and director known for her versatile performances across parallel and mainstream cinema.
-
D.
Meena Khadikar
Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
-
E.
Suhasini Mulay
Suhasini Mulay is an Indian actress and documentary filmmaker known for her work in parallel cinema and acclaimed character roles in Hindi and regional films.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4760fa448190862c886bc5a6ec10 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef354c5c08190bf7d3023a3473d2f |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:27 p.m.