Triple
T9393812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Vronsky |
E226091
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Axel |
unclear NED1
|
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: Axel | Statement: [Michael Vronsky, associatedWith, Axel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axel Context triple: [Michael Vronsky, associatedWith, Axel]
-
A.
Axel
Axel is a child associated with Nairobi, a character from the Spanish television series "Money Heist" (La Casa de Papel).
-
B.
Axel
Axel is a given name associated with the Finnish painter Akseli Gallen-Kallela, renowned for his depictions of the Kalevala and contributions to Finnish national romantic art.
-
C.
Axel Hubert
Axel Hubert is an editor known for his work on the publication titled "The Prophecy."
-
D.
Ian Axel
Ian Axel is an American singer-songwriter and pianist best known as one half of the duo A Great Big World, whose emotional ballads gained widespread popularity in the 2010s.
-
E.
Axelsson
Axelsson is a common Swedish surname borne by various notable individuals in fields such as literature, sports, and politics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd511150008190be04142e477e8bf1 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010ffcd4819088edafbdb43c2c00 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:45 p.m.