Triple
T6557445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdullah Azzam |
E152485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Azzam |
E598554
|
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: Azzam | Statement: [Abdullah Azzam, familyName, Azzam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azzam Context triple: [Abdullah Azzam, familyName, Azzam]
-
A.
Azzam
chosen
Azzam is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
B.
Ayman
Ayman is a masculine given name of Arabic origin meaning "right-handed," "blessed," or "fortunate."
-
C.
Hamza
Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
-
D.
Al-Khader
Al-Khader is a Palestinian town near Bethlehem known for its historic religious sites and agricultural traditions.
-
E.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1eb0888190a67b850ac2bca79c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f784b8288190bf3778721fad4eb1 |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:52 p.m.