Triple
T6087761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamdi |
E135681
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Hamdī |
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: Hamdī | Statement: [Hamdi, hasVariantTransliteration, Hamdī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamdī Context triple: [Hamdi, hasVariantTransliteration, Hamdī]
-
A.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
B.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
C.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
D.
Hussaini
Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
-
E.
Hamid
chosen
Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252d7bf081909a9610e5b0e6924c |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.