Triple
T11940413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yn Sid |
E284158
|
entity |
| Predicate | mentorOf |
P7251
|
FINISHED |
| Object | Kairi |
E946160
|
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: Kairi | Statement: [Yn Sid, mentorOf, Kairi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kairi Context triple: [Yn Sid, mentorOf, Kairi]
-
A.
Kairi
chosen
Kairi is one of the main protagonists in the Kingdom Hearts video game series, known as a kind-hearted Keyblade wielder and one of Sora’s closest friends.
-
B.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
C.
Kaori
Kaori is a feminine given name of Japanese origin commonly associated with meanings related to fragrance or aroma.
-
D.
Kai
Kai is the fictional half-Japanese, half-English outcast and skilled warrior portrayed by Keanu Reeves in the fantasy samurai film "47 Ronin."
-
E.
Kai
Kai is a masculine given name used in various cultures, often associated with meanings such as "sea," "forgiveness," or "victory" depending on its linguistic origin.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903415d2481909d84e6727454b9fe |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4409a40dc81909d87c50601b98b78 |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.