Triple
T37457473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagger Mastery |
E930834
|
entity |
| Predicate | canBeTransformedBy |
P120301
|
FINISHED |
| Object | Justicar Trueheart (in older formats) |
—
|
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: Justicar Trueheart (in older formats) | Statement: [Dagger Mastery, canBeTransformedBy, Justicar Trueheart (in older formats)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeTransformedBy Context triple: [Dagger Mastery, canBeTransformedBy, Justicar Trueheart (in older formats)]
-
A.
canTransform
chosen
Indicates that one entity is capable of being changed or converted into another entity or state.
-
B.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
-
C.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
D.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
-
E.
hasTransformationType
Indicates that an entity undergoes or is associated with a specific kind or category of transformation.
- 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_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:17 p.m.