Triple
T16182029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigitte Aron |
E392705
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aron |
E379410
|
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: Aron | Statement: [Brigitte Aron, familyName, Aron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aron Context triple: [Brigitte Aron, familyName, Aron]
-
A.
Aron
Aron was a medieval Bulgarian nobleman and member of the Cometopuli dynasty, known as one of the brothers who resisted Byzantine rule in the late 10th century.
-
B.
Aron
chosen
Aron is a surname most notably associated with Raymond Aron, a prominent 20th-century French philosopher, sociologist, and political commentator.
-
C.
Aron
Aron is a river in central France that joins the Loire near the town of Decize.
-
D.
Aron
Aron is a central character in Arnold Schoenberg's opera "Moses und Aron," representing the eloquent spokesman who translates Moses' abstract, spiritual ideas into concrete words and images for the people.
-
E.
Aron
Aron is the given name of Aron Ralston, the American outdoorsman and motivational speaker known for surviving a canyoneering accident by amputating his own arm.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.