Triple
T37707382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Poison |
E939230
|
entity |
| Predicate | minimumHealthAfterEffect |
P188957
|
FINISHED |
| Object | 0.5 hearts |
—
|
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: 0.5 hearts | Statement: [Potion of Poison, minimumHealthAfterEffect, 0.5 hearts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumHealthAfterEffect Context triple: [Potion of Poison, minimumHealthAfterEffect, 0.5 hearts]
-
A.
healingAmount
Indicates the quantity of health or damage recovery provided by a healing action or effect.
-
B.
damageAdjusted
Indicates that the amount of damage has been modified from its original value, typically to account for mitigating or amplifying factors.
-
C.
summonedMinionHealth
Indicates the health value of a minion that has been summoned by another entity.
-
D.
maxEffectAt10Mana
Indicates that the effect of an ability, spell, or action reaches its maximum strength or value when 10 mana is available or spent.
-
E.
damageEffect
Indicates that one entity causes harm, reduction, or deterioration to another entity or its properties.
- 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_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.