Triple
T16467942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King K. Rool |
E399982
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Rare |
E266293
|
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: Rare | Statement: [King K. Rool, creator, Rare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rare Context triple: [King K. Rool, creator, Rare]
-
A.
Rare
chosen
Rare is a renowned British video game developer known for creating influential titles such as Donkey Kong Country, GoldenEye 007, Banjo-Kazooie, and Sea of Thieves.
-
B.
Rare
Rare is Selena Gomez's third studio album, a pop record known for its themes of self-acceptance and emotional resilience.
-
C.
Rare Junk
Rare Junk is an album produced by William E. McEuen, known for its eclectic blend of folk, country, and experimental sounds.
-
D.
Selten
Selten is a German surname most notably borne by Reinhard Selten, a Nobel Prize–winning economist recognized for his contributions to game theory.
-
E.
Rare (original depiction)
Rare (original depiction) is a British video game developer best known for revitalizing the Donkey Kong franchise in the 1990s with titles like Donkey Kong Country, which defined the look and feel of Donkey Kong Island.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.