Triple
T14005136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughal court |
E336926
|
entity |
| Predicate | employedOffice |
P44925
|
FINISHED |
| Object | mir bakshi |
E334690
|
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: mir bakshi | Statement: [Mughal court, employedOffice, mir bakshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mir bakshi Context triple: [Mughal court, employedOffice, mir bakshi]
-
A.
Mir Bakshi
chosen
Mir Bakshi was a high-ranking Mughal imperial official responsible for military administration and the management of army personnel and payments.
-
B.
Mukul Sharma
Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
-
C.
Ravi Jhankal
Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
-
D.
Sunny Khan
Sunny Khan is a central detective character in the British crime drama series "Unforgotten," known for his methodical investigative style and partnership with lead detective Cassie Stuart.
-
E.
Bakshi
Bakshi was a key Mughal administrative and military officer responsible for managing pay, recruitment, and organization of troops within the empire.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca41d24819086df2329ea3c4c9c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.