Triple
T4360811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zein al-Sharaf Talal |
E98655
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zein |
E107000
|
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: Zein | Statement: [Zein al-Sharaf Talal, givenName, Zein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zein Context triple: [Zein al-Sharaf Talal, givenName, Zein]
-
A.
Zein
chosen
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
-
B.
Arbela
Arbela is the ancient name of the modern city of Erbil in Iraqi Kurdistan, historically known as a major Assyrian and later Hellenistic center near the site of Alexander the Great’s victory at the Battle of Gaugamela.
-
C.
Kasha
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
-
D.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
E.
Zebidah
Zebidah is a woman mentioned in the Hebrew Bible as the mother of King Jehoiakim of Judah.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e3220881909dc9d02ab024abf5 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbf9db88190a3058e6a44080000 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.