Triple
T17038912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamadi Jebali |
E413391
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hamadi |
E149448
|
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: Hamadi | Statement: [Hamadi Jebali, givenName, Hamadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamadi Context triple: [Hamadi Jebali, givenName, Hamadi]
-
A.
Hamidou
Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
-
B.
Hamzaa
Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
-
C.
Hamed
chosen
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
D.
Abdelhadi
Abdelhadi is a male given name of Arabic origin, commonly used in various Arabic-speaking countries and derived from the name Abd al-Hadi.
-
E.
Belhamed
Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f45f84819092cfb27cc33da026 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012338a95c8190951db96209edb61a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.