Triple
T9527376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirin |
E229793
|
entity |
| Predicate | alternativeTransliteration |
P5923
|
FINISHED |
| Object | Sherin |
E806211
|
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: Sherin | Statement: [Shirin, alternativeTransliteration, Sherin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherin Context triple: [Shirin, alternativeTransliteration, Sherin]
-
A.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
B.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
C.
Shireen
chosen
Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
-
D.
Roshini
Roshini is an Indian actress known for her work in Tamil cinema and for being the sister of popular actress Jyothika.
-
E.
Shalini
Shalini is an Indian former film actress best known for her work as a child artist and leading lady in Malayalam and Tamil cinema.
- 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_69d1527253588190ac365203ef382a2d |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8 p.m.