Triple
T37458356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murloc Shaman |
E930854
|
entity |
| Predicate | typicalCurve |
P91679
|
FINISHED |
| Object | Low mana curve |
—
|
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: Low mana curve | Statement: [Murloc Shaman, typicalCurve, Low mana curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCurve Context triple: [Murloc Shaman, typicalCurve, Low mana curve]
-
A.
gammaCurveType
Indicates the specific type or model of gamma correction curve applied in a color or image processing context.
-
B.
commonlyUsedCurve
chosen
Indicates that the referenced curve is widely adopted or frequently used in common practice or standard applications.
-
C.
typicalResolution
Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
-
D.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than another entity.
-
E.
typicalTrackCharacteristics
Indicates that the associated characteristics represent the usual or standard features of a given track.
- F. None of above.
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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.