Triple
T22267193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Work and Well-Being in the Age of Finance |
E550380
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jayati Ghosh |
E130264
|
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: Jayati Ghosh | Statement: [Work and Well-Being in the Age of Finance, author, Jayati Ghosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayati Ghosh Context triple: [Work and Well-Being in the Age of Finance, author, Jayati Ghosh]
-
A.
Jayati Ghosh
chosen
Jayati Ghosh is an Indian development economist known for her work on globalization, gender, and economic policy, and for her influential role in academic and policy debates on inequality and development.
-
B.
Sutapa Basu
Sutapa Basu is an Indian author and poet known for her historical fiction and contemporary novels.
-
C.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
D.
Aparna Dasgupta
Aparna Dasgupta, better known as Aparna Sen, is a renowned Indian film director, screenwriter, and actress celebrated for her work in Bengali and parallel cinema.
-
E.
Jayashree Mohta
Jayashree Mohta is an Indian businesswoman and member of the prominent Birla industrial family.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bc458c81909837373d749b915d |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c1591515c8190a452c6270d0a9aef |
completed | May 19, 2026, 7:47 a.m. |
Created at: April 16, 2026, 8:39 p.m.