Triple
T1460151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario |
E31492
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Princess Peach |
E74800
|
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: Princess Peach | Statement: [Mario, ally, Princess Peach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Peach Context triple: [Mario, ally, Princess Peach]
-
A.
Princess Peach
chosen
Princess Peach is a beloved Nintendo video game character, the ruler of the Mushroom Kingdom and frequent damsel-turned-heroine in the Super Mario series.
-
B.
Yoshi
Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
-
C.
Kamek
Kamek is a recurring Magikoopa villain in the Mario franchise, typically depicted as Bowser’s magical advisor and caretaker who uses powerful spells to hinder Mario and his allies.
-
D.
Princess Kiko
Princess Kiko is a member of Japan’s imperial family, known as the wife of Crown Prince Fumihito and mother of Prince Hisahito, the only male heir of his generation.
-
E.
Princess Yori
Princess Yori is a fictional royal character, also known as Princess Atsuko, who appears in Japanese-inspired storytelling and media.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e786a208190a57c4e1878c66517 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.