Triple
T21330847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohan Agashe |
E525893
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bhumika |
—
|
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: Bhumika | Statement: [Mohan Agashe, notableWork, Bhumika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhumika Context triple: [Mohan Agashe, notableWork, Bhumika]
-
A.
Bhumika
chosen
Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
-
B.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
C.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
D.
Nandini
Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
-
E.
Deepti
Deepti is an Indian actress, director, and writer best known for her nuanced performances in parallel cinema and Hindi films since the late 1970s.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5177dc8190b888351e9a45b45f |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.