Triple
T16087788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Sinha |
E390276
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Satyendra |
E48987
|
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: Satyendra | Statement: [Lord Sinha, givenName, Satyendra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satyendra Context triple: [Lord Sinha, givenName, Satyendra]
-
A.
Satyendra
chosen
Satyendra is the given name of Satyendra Nath Bose, the Indian physicist whose work on quantum mechanics led to the concept of bosons and Bose–Einstein statistics.
-
B.
Upendra
Upendra is a name and epithet of the Hindu god Vishnu, particularly associated with his dwarf incarnation Vamana.
-
C.
Satya Nandan
Satya Nandan was a Fijian diplomat and international lawyer renowned for his leading role in shaping the United Nations Convention on the Law of the Sea and in developing global ocean governance.
-
D.
Ghanshyam
Ghanshyam is the given name of Ghanshyam Das Birla, a prominent Indian industrialist and philanthropist of the 20th century.
-
E.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e184508dfc819085590b2c4731c8ef |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.