Triple
T22842012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamdy |
E566105
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Hamid |
—
|
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: Hamid | Statement: [Hamdy, relatedName, Hamid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamid Context triple: [Hamdy, relatedName, Hamid]
-
A.
Hamid
chosen
Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
B.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
C.
Hadi
Hadi is a masculine given name commonly used in Arabic- and Persian-speaking cultures, often meaning "guide" or "leader."
-
D.
حسين
حسين هو اسم علم عربي شائع يُستخدم غالباً للذكور ويحمل دلالات دينية وتاريخية بارزة في الثقافة الإسلامية.
-
E.
Nasrullah
Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e855abc8190b9cf8cc515090a7f |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.