Triple
T21297511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. S. Thakur |
E524962
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | T. S. Thakur |
—
|
NE NERFINISHED |
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: T. S. Thakur | Statement: [T. S. Thakur, name, T. S. Thakur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. S. Thakur Context triple: [T. S. Thakur, name, T. S. Thakur]
-
A.
T. S. Thakur
chosen
T. S. Thakur is an Indian jurist who served as the 43rd Chief Justice of India.
-
B.
T. N. Singh
T. N. Singh is an Indian academic and administrator who serves as the director of the Indian Institute of Technology Patna.
-
C.
Chandeshwar Prasad Thakur
Chandeshwar Prasad Thakur was an Indian politician who served as a state governor, notably holding the gubernatorial post in Haryana.
-
D.
A. N. Singh
A. N. Singh was an Indian mathematician and historian of mathematics known for his work on the history of Indian mathematics and for co-authoring influential scholarly texts in the field.
-
E.
V. K. Singh
V. K. Singh is an Indian politician and retired four-star General of the Indian Army who has served as a Union minister in the Government of India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.