Triple
T11541228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylanders series |
E273679
|
entity |
| Predicate | mainAntagonist |
P4675
|
FINISHED |
| Object | Kaos |
E388335
|
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: Kaos | Statement: [Skylanders series, mainAntagonist, Kaos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaos Context triple: [Skylanders series, mainAntagonist, Kaos]
-
A.
Kaos
chosen
Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
-
B.
KAOS
KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
-
C.
Pandemonium
Pandemonium is a live performance release by the Pet Shop Boys, showcasing concert renditions of their synth-pop hits.
-
D.
Pandemonium
Pandemonium is a studio album by the English post-punk band Killing Joke, known for its heavy industrial rock sound and dark, apocalyptic themes.
-
E.
Doxa
Doxa was a Hellenic Navy destroyer that previously served in the U.S. Navy as USS Ludlow (DD-438) before being transferred and renamed in Greek service.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685ab77908190ac5d59cf2b8c96bf |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.