Triple
T11659257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wither Skeleton |
E277081
|
entity |
| Predicate | statusEffectInflicted |
P90752
|
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 Skeleton, statusEffectInflicted, Wither]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusEffectInflicted Context triple: [Wither Skeleton, statusEffectInflicted, Wither]
-
A.
toxinEffect
Indicates the harmful impact or physiological response caused by a toxin on a target entity.
-
B.
statusAfterAttack
chosen
Indicates the resulting condition or state of an entity after an attack has occurred.
-
C.
notableEffect
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
D.
involvedPhysicalEffect
Indicates that one entity participates in causing, experiencing, or mediating a physical effect on another entity or the environment.
-
E.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
- 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_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.