Triple
T20565951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenggelamnya Kapal Van der Wijck |
E504965
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Aziz |
—
|
NE NERFINISHED |
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: Aziz | Statement: [Tenggelamnya Kapal Van der Wijck, character, Aziz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aziz Context triple: [Tenggelamnya Kapal Van der Wijck, character, Aziz]
-
A.
Aziz
chosen
Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
-
B.
Azmi
Azmi is an Indian family name notably associated with acclaimed actress and activist Shabana Azmi.
-
C.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.