Triple
T37707379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Poison |
E939230
|
entity |
| Predicate | effectOnUndead |
P196482
|
FINISHED |
| Object | no healing |
—
|
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: no healing | Statement: [Potion of Poison, effectOnUndead, no healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnUndead Context triple: [Potion of Poison, effectOnUndead, no healing]
-
A.
effectOnGhosts
Indicates the influence or impact that something has on ghosts, such as how it alters their state, behavior, or abilities.
-
B.
isUndead
Indicates that an entity is no longer living in a natural sense but continues to exist through supernatural or unnatural means.
-
C.
canRaiseUndeadMinions
Indicates the ability of an entity to animate and control undead creatures as subordinate minions.
-
D.
effectOfDeath
Indicates the causal impact or consequences that a death has on another entity, state, or process.
-
E.
vampireAbility
Indicates that one entity possesses a supernatural power or trait specifically associated with being a vampire in relation to another entity or context.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
| PDg | Predicate description generation | batch_69fe38bc3e9c8190838430b22b82503f |
completed | May 8, 2026, 7:25 p.m. |
Created at: May 3, 2026, 4:18 p.m.