Triple
T19304487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subahdar of Malwa |
E482788
|
entity |
| Predicate | usedTitle |
P3254
|
FINISHED |
| Object | Nazim |
—
|
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: Nazim | Statement: [Subahdar of Malwa, usedTitle, Nazim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazim Context triple: [Subahdar of Malwa, usedTitle, Nazim]
-
A.
Nâzim
chosen
Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
-
B.
Azmi
Azmi is an Indian family name notably associated with acclaimed actress and activist Shabana Azmi.
-
C.
Shafik
Shafik is a surname of Arabic origin borne by various notable individuals, including Egyptian politician Ahmed Shafik.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.