Triple
T234253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salman Rushdie |
E4474
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ahmed |
E25198
|
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: Ahmed | Statement: [Salman Rushdie, givenName, Ahmed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahmed Context triple: [Salman Rushdie, givenName, Ahmed]
-
A.
Ahmed
chosen
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
-
B.
Amr
Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
-
C.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
-
D.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
-
E.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cb07b5c8190a482154819912abf |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3695d08588190892d271c03fdf1e6 |
completed | Feb. 28, 2026, 10:17 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.