Triple
T16010976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylands |
E388334
|
entity |
| Predicate | threatenedBy |
P956
|
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: [Skylands, threatenedBy, Kaos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaos Context triple: [Skylands, threatenedBy, 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 a collaborative hip-hop album by Roc Marciano and DJ Muggs known for its gritty production and intricate lyricism.
-
C.
Kaos
Kaos is an Italian anthology film directed by Paolo and Vittorio Taviani, adapting several Luigi Pirandello short stories into a series of visually rich, thematically linked episodes.
-
D.
KAOS
KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
-
E.
KAOS
KAOS is a large, robotic boss character in Donkey Kong Country 3: Dixie Kong's Double Trouble! that initially appears to be the main villain before revealing a connection to the series’ true antagonist.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1829119648190aef5b5e84b26d898 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf24a9d8819083d7b11d71442da6 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.