Triple
T14590867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pondicherry University |
E342437
|
entity |
| Predicate | viceChancellor |
P142
|
FINISHED |
| Object |
Gurmeet Singh
Gurmeet Singh is an Indian academic and administrator who has served as the Vice-Chancellor of Pondicherry University.
|
E1109249
|
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: Gurmeet Singh | Statement: [Pondicherry University, viceChancellor, Gurmeet Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurmeet Singh Context triple: [Pondicherry University, viceChancellor, Gurmeet Singh]
-
A.
Jarnail Singh
Jarnail Singh was the birth name of Giani Zail Singh, an Indian politician who served as the seventh President of India from 1982 to 1987.
-
B.
Gurdial Singh
Gurdial Singh was a prominent Indian Punjabi novelist and short story writer known for his realistic portrayals of rural life and marginalized communities.
-
C.
Gurmukh Nihal Singh
Gurmukh Nihal Singh was an Indian politician and lawyer who served as the first Chief Minister of Delhi and later as the Governor of Rajasthan.
-
D.
Tej Singh
Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
-
E.
Beant Singh
Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
- 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: Gurmeet Singh Triple: [Pondicherry University, viceChancellor, Gurmeet Singh]
Generated description
Gurmeet Singh is an Indian academic and administrator who has served as the Vice-Chancellor of Pondicherry University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gurmeet Singh Target entity description: Gurmeet Singh is an Indian academic and administrator who has served as the Vice-Chancellor of Pondicherry University.
-
A.
Jarnail Singh
Jarnail Singh was the birth name of Giani Zail Singh, an Indian politician who served as the seventh President of India from 1982 to 1987.
-
B.
Gurdial Singh
Gurdial Singh was a prominent Indian Punjabi novelist and short story writer known for his realistic portrayals of rural life and marginalized communities.
-
C.
Gurmukh Nihal Singh
Gurmukh Nihal Singh was an Indian politician and lawyer who served as the first Chief Minister of Delhi and later as the Governor of Rajasthan.
-
D.
Tej Singh
Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
-
E.
Beant Singh
Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c36bb881909af16aa1df1766f8 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd9ab12c38819081772da28b5fe7da |
completed | May 8, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9bb4dba08190b2ed507a47462b34 |
completed | May 8, 2026, 8:15 a.m. |
Created at: April 10, 2026, 1:24 a.m.