Triple
T15630980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aahoo Jahansouz Shahi |
E375809
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shahi |
E375810
|
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: Shahi | Statement: [Aahoo Jahansouz Shahi, familyName, Shahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahi Context triple: [Aahoo Jahansouz Shahi, familyName, Shahi]
-
A.
Shahi
chosen
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
-
B.
Kundal Shahi
Kundal Shahi is a village in Pakistan-administered Azad Kashmir, known as a gateway settlement to the scenic Neelum Valley and its surrounding mountainous landscapes.
-
C.
Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
-
D.
Krupa Pattani
Krupa Pattani is a British actress best known for her role in the BBC sitcom "Citizen Khan."
-
E.
Badshahi Angti
Badshahi Angti is a detective novel in Satyajit Ray’s Feluda series, featuring the sleuth Pradosh C. Mitter as he unravels a mystery surrounding a royal Mughal ring.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.