Triple
T5080429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link |
E114496
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Ganondorf |
E491830
|
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: Ganondorf | Statement: [Link, enemy, Ganondorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganondorf Context triple: [Link, enemy, Ganondorf]
-
A.
Ganon
chosen
Ganon is the primary villain of Nintendo’s The Legend of Zelda series, typically depicted as a powerful warlord or demonic beast seeking the Triforce to conquer Hyrule.
-
B.
King K. Rool
King K. Rool is the main villainous crocodile king of the Kremlings in the Donkey Kong video game series, known for his over-the-top costumes and comically menacing personality.
-
C.
Bullet Bill
Bullet Bill is a fast-flying, bullet-shaped enemy projectile from the Super Mario video game series, often launched from cannons to attack the player.
-
D.
Dorohusk
Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
-
E.
Impa
Impa is a recurring character in The Legend of Zelda series, typically depicted as Princess Zelda’s loyal Sheikah guardian and advisor.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfbfe2bc81909758cad44baf809e |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:39 p.m.