Triple
T21195567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basu Bhattacharya |
E522315
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anubhav |
—
|
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: Anubhav | Statement: [Basu Bhattacharya, notableWork, Anubhav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anubhav Context triple: [Basu Bhattacharya, notableWork, Anubhav]
-
A.
Anubhav
chosen
Anubhav is a Hindi-language film featuring actor Sanjay Suri in a significant role.
-
B.
Anuraag
Anuraag is a 1972 Hindi romantic drama film directed by Shakti Samanta, known for its emotional story and popular music.
-
C.
Bhavish
Bhavish is an Indian entrepreneur best known as the co-founder and CEO of the ride-hailing company Ola Cabs.
-
D.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
E.
Vivek
Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333bd7a0819084bbd1d6c111bc65 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:08 p.m.