Triple
T7730110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srijit Mukherji |
E175226
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Zulfiqar |
E685178
|
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: Zulfiqar | Statement: [Srijit Mukherji, directed, Zulfiqar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zulfiqar Context triple: [Srijit Mukherji, directed, Zulfiqar]
-
A.
Zulfiqar
chosen
Zulfiqar is a Bengali crime thriller film by Srijit Mukherji that reimagines Shakespeare’s Julius Caesar and Antony and Cleopatra in the contemporary underworld of Kolkata.
-
B.
Rustam Khan
Rustam Khan was a Mughal-era noble and governor credited with establishing the city of Moradabad in northern India.
-
C.
Khushal
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Alaeddin
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3244088190be26dec90db9cfb3 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.