Triple
T15625772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eska |
E375671
|
entity |
| Predicate | bendingStyle |
P119494
|
FINISHED |
| Object | waterbending |
—
|
LITERAL 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: waterbending | Statement: [Eska, bendingStyle, waterbending]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bendingStyle Context triple: [Eska, bendingStyle, waterbending]
-
A.
bindingStyle
Indicates the method or format by which two components, systems, or interfaces are connected or integrated for interaction.
-
B.
wrappingStyle
Indicates how something is wrapped or packaged around an object or content, specifying the manner or pattern of the wrapping.
-
C.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
-
D.
bendAngle
Indicates the degree to which one part is bent relative to another, typically measured as the angle formed at their joint or intersection.
-
E.
endingStyle
Indicates the manner or stylistic form in which something concludes or is brought to an end.
- F. None of above. chosen
Provenance (4 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.