Triple
T10618525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Jharkhand |
E295183
|
entity |
| Predicate | firstOfficeHolder |
P4891
|
FINISHED |
| Object |
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
|
E879407
|
NE FINISHED |
How this triple was built (4 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: Prabhat Kumar | Statement: [Governor of Jharkhand, firstOfficeHolder, Prabhat Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabhat Kumar Context triple: [Governor of Jharkhand, firstOfficeHolder, Prabhat Kumar]
-
A.
Jagannath Mishra
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
B.
Nirmal Kumar
Nirmal Kumar was an Indian actor known for his work in Bengali cinema and his marriage to acclaimed actress Madhabi Mukherjee.
-
C.
Ashok Kumar
Ashok Kumar was a pioneering and acclaimed Indian film actor, often regarded as one of the first superstars of Hindi cinema.
-
D.
Ameet Shukla
Ameet Shukla is a film producer best known for his work on the action thriller movie "Cold Pursuit."
-
E.
Pramod Kumar Mishra
Pramod Kumar Mishra is a senior Indian Administrative Service officer who serves as a key bureaucratic advisor and top aide to the Prime Minister of India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prabhat Kumar Triple: [Governor of Jharkhand, firstOfficeHolder, Prabhat Kumar]
Generated description
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prabhat Kumar Target entity description: Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
-
A.
Jagannath Mishra
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
B.
Nirmal Kumar
Nirmal Kumar was an Indian actor known for his work in Bengali cinema and his marriage to acclaimed actress Madhabi Mukherjee.
-
C.
Ashok Kumar
Ashok Kumar was a pioneering and acclaimed Indian film actor, often regarded as one of the first superstars of Hindi cinema.
-
D.
Ameet Shukla
Ameet Shukla is a film producer best known for his work on the action thriller movie "Cold Pursuit."
-
E.
Pramod Kumar Mishra
Pramod Kumar Mishra is a senior Indian Administrative Service officer who serves as a key bureaucratic advisor and top aide to the Prime Minister of India.
- F. None of above. chosen
Provenance (5 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988474cf0819087516026fd249640 |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 8, 2026, 8:19 p.m.