Triple
T21749973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Mokoena |
E536888
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aaron |
—
|
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: Aaron | Statement: [Aaron Mokoena, givenName, Aaron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Context triple: [Aaron Mokoena, givenName, Aaron]
-
A.
Aaron
Aaron is a prominent biblical figure known as Moses’ brother and the first high priest of the Israelites.
-
B.
Aaron
Aaron is the central protagonist of the British survival horror film "For Those in Peril," a troubled young man struggling with grief and survivor’s guilt after a tragic fishing accident in his Scottish coastal village.
-
C.
Aaron
chosen
Aaron is a common given name and surname of Hebrew origin, historically associated with the biblical brother of Moses and widely used in many cultures today.
-
D.
Aaron
Aaron is the central character in the 1999 film "Titus," a stylized adaptation of Shakespeare’s tragedy "Titus Andronicus."
-
E.
Aaron
Aaron is a central character in Jamila Gavin’s novel "Coram Boy," a boy whose mysterious origins and connection to the Coram Hospital drive much of the story’s drama and emotional conflict.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a79fb74819098a247c4f31598a8 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:50 p.m.