Triple
T13061684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandan Nilekani |
E329212
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nandan
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
|
E1017387
|
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: Nandan | Statement: [Nandan Nilekani, givenName, Nandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandan Context triple: [Nandan Nilekani, givenName, Nandan]
-
A.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
B.
Nanddas
Nanddas was a prominent 16th-century devotional poet of the Pushtimarg tradition, celebrated for his Braj-language compositions praising Krishna.
-
C.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
-
D.
Biraj Bou
Biraj Bou is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the struggles, dignity, and emotional life of a devoted wife in a traditional Indian household.
-
E.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
- 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: Nandan Triple: [Nandan Nilekani, givenName, Nandan]
Generated description
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandan Target entity description: Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
-
A.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
B.
Nanddas
Nanddas was a prominent 16th-century devotional poet of the Pushtimarg tradition, celebrated for his Braj-language compositions praising Krishna.
-
C.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
-
D.
Biraj Bou
Biraj Bou is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the struggles, dignity, and emotional life of a devoted wife in a traditional Indian household.
-
E.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd3d5090819091b65f544ad139fd |
completed | May 3, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cdc8d52c819083717a455d589646 |
completed | May 3, 2026, 4:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.