Triple
T11658893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wither |
E277073
|
entity |
| Predicate | hasStatusEffectOnHit |
P92873
|
FINISHED |
| Object | Wither |
—
|
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: Wither | Statement: [Wither, hasStatusEffectOnHit, Wither]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusEffectOnHit Context triple: [Wither, hasStatusEffectOnHit, Wither]
-
A.
playedOnHit
Indicates that an entity performed or participated in a play or action that resulted in a hit.
-
B.
hasTypeOfEffect
chosen
Indicates that one entity produces, exhibits, or is associated with a particular kind or category of effect on another entity or context.
-
C.
heroPowerEffect
Indicates the specific impact or outcome that a hero’s power has when it is used.
-
D.
usesEffectType
Indicates that an entity employs or is associated with a particular type or category of effect in its operation or behavior.
-
E.
effectivenessAgainst
Indicates how well one entity performs in countering, influencing, or mitigating the impact of another entity.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.