Triple
T15291353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenadh Kes |
E365534
|
entity |
| Predicate | hasPrimaryLanguages |
P1252
|
FINISHED |
| Object | Meryam Mir |
E365531
|
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: Meryam Mir | Statement: [Zenadh Kes, hasPrimaryLanguages, Meryam Mir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meryam Mir Context triple: [Zenadh Kes, hasPrimaryLanguages, Meryam Mir]
-
A.
Meriam Mir
chosen
Meriam Mir is an Indigenous language of the eastern Torres Strait, spoken primarily by the Meriam people of islands such as Mer (Murray Island) in northern Australia.
-
B.
Mizzi Ahmar
Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
-
C.
Asmahan Arslan
Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
-
D.
Asma Akhras
Asma Akhras, better known as Asma al-Assad, is the British-born First Lady of Syria and wife of President Bashar al-Assad.
-
E.
Bahar Soomekh
Bahar Soomekh is an Iranian-born American actress best known for her roles in the films "Crash" and "Saw III."
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133d171c8190918c9624bcdb7451 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:15 a.m.