Triple
T7369107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamid |
E169947
|
entity |
| Predicate | isDerivedFromGivenName |
P63662
|
FINISHED |
| Object | Hamid (given name) |
E169947
|
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: Hamid (given name) | Statement: [Hamid, isDerivedFromGivenName, Hamid (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamid (given name) Context triple: [Hamid, isDerivedFromGivenName, Hamid (given name)]
-
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.
Jamil
Jamil is a masculine given name of Arabic origin commonly used in various cultures around the world.
-
D.
Hamza
Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
-
E.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bfaa10819083ab3137dbdeefb6 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.