Triple
T23128852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ataliya |
E577111
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Ataliia |
—
|
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: Ataliia | Statement: [Ataliya, nameVariant, Ataliia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ataliia Context triple: [Ataliya, nameVariant, Ataliia]
-
A.
Ataliya
chosen
Ataliya is an Assyrian royal woman known primarily as the mother of the Neo-Assyrian king Sennacherib.
-
B.
Arielli
Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
-
C.
Altilia
Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
-
D.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
E.
Dalia
Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e857b40819081f9df03fff64d48 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.