Triple
T16037849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boualem Sansal |
E389013
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Boualem |
E389013
|
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: Boualem | Statement: [Boualem Sansal, givenName, Boualem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boualem Context triple: [Boualem Sansal, givenName, Boualem]
-
A.
Mounir
Mounir is a masculine given name of Arabic origin, commonly used in various Arabic-speaking and Muslim-majority countries.
-
B.
Boualem Sansal
chosen
Boualem Sansal is an Algerian novelist and essayist known for his critical writings on authoritarianism, Islamic extremism, and the political situation in Algeria.
-
C.
Belhamed
Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
-
D.
Moncef
Moncef is a masculine given name of Arabic origin commonly used in North African countries.
-
E.
Hamma Bouziane
Hamma Bouziane is a town and commune located in Constantine Province in northeastern Algeria.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833da68881908710fb2c28e8c6d0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe474f89c819086db832b793c15ed |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.