Triple
T17761327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bansi Lal |
E443381
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bansi Lal |
—
|
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: Bansi Lal | Statement: [Bansi Lal, name, Bansi Lal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bansi Lal Context triple: [Bansi Lal, name, Bansi Lal]
-
A.
Bansi Lal
chosen
Bansi Lal was an influential Indian politician and Congress leader who served multiple terms as Chief Minister of Haryana and played a key role in shaping the state's early development.
-
B.
Manohar Singh
Manohar Singh was an Indian actor known for his work in theatre, film, and television, often recognized for his strong character roles.
-
C.
Gulzarilal Nanda
Gulzarilal Nanda was an Indian politician who twice served as the acting Prime Minister of India and was a prominent leader in the Indian National Congress.
-
D.
Rana Ratan Singh
Rana Ratan Singh was a Rajput ruler of Mewar, remembered in history and legend for his resistance against Alauddin Khalji during the early 14th century.
-
E.
Anugrah Narayan Sinha
Anugrah Narayan Sinha was a prominent Indian nationalist leader and statesman from Bihar who played a key role in the freedom movement and later in the governance and development of the state.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.