Triple
T9527377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirin |
E229793
|
entity |
| Predicate | alternativeTransliteration |
P5923
|
FINISHED |
| Object | Şirin |
E229793
|
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: Şirin | Statement: [Shirin, alternativeTransliteration, Şirin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şirin Context triple: [Shirin, alternativeTransliteration, Şirin]
-
A.
Shirin
chosen
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
B.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
C.
Shimona
Shimona is a feminine given name, typically considered a variant of Simone.
-
D.
Shirland
Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.