Triple
T37707398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Poison |
E939230
|
entity |
| Predicate | canAffectMob |
P143292
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Potion of Poison, canAffectMob, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAffectMob Context triple: [Potion of Poison, canAffectMob, true]
-
A.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
-
B.
attackEffect
Indicates that one entity’s attack produces a specific effect or consequence on another entity.
-
C.
canDamageFriendlyCharacters
Indicates that an entity’s actions or effects are capable of harming or inflicting damage on allied or friendly characters.
-
D.
affectsBody
Indicates that one entity produces a physical impact, change, or influence on the body of another entity.
-
E.
canTarget
chosen
Indicates that one entity is able or permitted to select, aim at, or direct its action or effect toward another entity as a target.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.