Triple
T15814733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satya Nandan |
E383445
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nandan |
E1017387
|
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: Nandan | Statement: [Satya Nandan, familyName, Nandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandan Context triple: [Satya Nandan, familyName, Nandan]
-
A.
Nandan
chosen
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).
-
B.
Naren
Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
-
C.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
D.
Nanddas
Nanddas was a prominent 16th-century devotional poet of the Pushtimarg tradition, celebrated for his Braj-language compositions praising Krishna.
-
E.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99959f048190ae24a072387ec233 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.