Triple
T20044211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tejashwi Yadav |
E497510
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Misa Bharti |
—
|
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: Misa Bharti | Statement: [Tejashwi Yadav, hasRelative, Misa Bharti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misa Bharti Context triple: [Tejashwi Yadav, hasRelative, Misa Bharti]
-
A.
Misa Bharti
chosen
Misa Bharti is an Indian politician from Bihar and a member of the Rashtriya Janata Dal who has served as a parliamentarian.
-
B.
Kumud Mishra
Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
-
C.
Rewa Bagheli
Rewa Bagheli is a regional Indo-Aryan language variety spoken primarily in and around the Rewa region of Madhya Pradesh in central India.
-
D.
Bibi Haldar
Bibi Haldar is a socially isolated, epileptic young woman in Jhumpa Lahiri’s short story whose yearning for love and normalcy exposes the constraints placed on women in her community.
-
E.
Meenakshi Salve
Meenakshi Salve is known as the former wife of prominent Indian jurist and senior advocate Harish Salve.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.