Triple
T5529911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administrator of Chandigarh |
E145022
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object | Madhukar Dighe |
E534658
|
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: Madhukar Dighe | Statement: [Administrator of Chandigarh, officeHoldersInclude, Madhukar Dighe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madhukar Dighe Context triple: [Administrator of Chandigarh, officeHoldersInclude, Madhukar Dighe]
-
A.
Ramakant Rath
Ramakant Rath is an Indian poet and writer, regarded as one of the most prominent modernists in Odia literature.
-
B.
Dilip Chitre
Dilip Chitre was a prominent Indian poet, translator, and filmmaker known for his influential Marathi and English writings and his role in modern Indian literature.
-
C.
Nripendra Misra
Nripendra Misra is an Indian civil servant and former top bureaucrat who served as a key aide and principal advisor to Prime Minister Narendra Modi.
-
D.
Jagdish Mukhi
chosen
Jagdish Mukhi is an Indian politician and Bharatiya Janata Party leader who has served in various gubernatorial and administrative roles in India.
-
E.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f996e088190844cba2c4458bd76 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d65dafc819083b60cbff2031819 |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.