Triple
T19273232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyam Benegal |
E481980
|
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: [Shyam Benegal, notableWork, Bhumika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhumika Context triple: [Shyam Benegal, 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.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
E.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.