Triple
T19939453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tridib Chaudhuri |
E479265
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tridib |
—
|
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: Tridib | Statement: [Tridib Chaudhuri, givenName, Tridib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tridib Context triple: [Tridib Chaudhuri, givenName, Tridib]
-
A.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
-
B.
Pradip
Pradip is a masculine given name commonly used in India and among people of Indian origin.
-
C.
Tushar
Tushar is a male given name commonly used in India, derived from Sanskrit and often interpreted to mean "snow," "frost," or "dew."
-
D.
Tridib Chaudhuri
chosen
Tridib Chaudhuri was an Indian socialist leader and parliamentarian known for his prominent role in left-wing politics and activism in India.
-
E.
Saurabh Jha
Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.