Triple
T19620007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdullah bin Talal |
E470978
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abdullah |
—
|
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: Abdullah | Statement: [Abdullah bin Talal, givenName, Abdullah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdullah Context triple: [Abdullah bin Talal, givenName, Abdullah]
-
A.
Abdullah
chosen
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Abdulrahman
Abdulrahman is a masculine given name of Arabic origin meaning "servant of the Most Merciful," commonly used across the Muslim world.
-
C.
Ahmad
Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
-
D.
Ahmad
Ahmad is the deposed king and heroic protagonist in the 1940 fantasy film "The Thief of Bagdad."
-
E.
Ahmad
Ahmad is the central protagonist of the story "Man Push Cart," a former Pakistani rock star struggling to make a living as a street vendor in New York City.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.