Triple
T8963220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Boyer |
E214060
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Algiers |
E10377
|
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: Algiers | Statement: [Charles Boyer, notableWork, Algiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algiers Context triple: [Charles Boyer, notableWork, Algiers]
-
A.
Algiers
chosen
Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
-
B.
Tunis
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
C.
Touggourt
Touggourt is an oasis city in northeastern Algeria, known historically as a Saharan trading center and now as a regional hub in the Algerian desert.
-
D.
Bejaia
Bejaia is a major port city in northern Algeria, known as an important cultural and economic center of the Kabylie region on the Mediterranean coast.
-
E.
Taghzout
Taghzout is a town and commune located in Bouira Province in northern 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674b06f08190b2d992674a093592 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9512eec8190963aa68108691f7f |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.