Triple
T15122865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammoud |
E361210
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hammoudh |
E361210
|
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: Hammoudh | Statement: [Hammoud, hasVariant, Hammoudh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammoudh Context triple: [Hammoud, hasVariant, Hammoudh]
-
A.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
-
B.
Hammud
Hammud is an Arabic male given name and surname, commonly found across the Middle East and among Arabic-speaking communities worldwide.
-
C.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
D.
Al Huwari
Al Huwari is a locality situated within Libya's remote Kufra region in the southeastern part of the country.
-
E.
Hammoud
chosen
Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87ed2cc8190b4cae72774e0df7f |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:06 a.m.