Triple
T38593364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caduceus Blaster |
E932504
|
entity |
| Predicate | cannotBoostDamage |
P193455
|
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: [Caduceus Blaster, cannotBoostDamage, True]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotBoostDamage Context triple: [Caduceus Blaster, cannotBoostDamage, True]
-
A.
cannotBeDamagedBy
Indicates that one entity is immune to harm, injury, or degradation caused by another specified entity or factor.
-
B.
damageBonus
Indicates that an entity receives an additional amount of damage dealt beyond its base damage value.
-
C.
cannotBeEnchanted
Indicates that the subject is not capable of being affected or altered by enchantments or magical enhancements.
-
D.
cannotBeImprovedTo
Indicates that one entity cannot be enhanced, upgraded, or made better into the state or form represented by another entity.
-
E.
hasBoostMechanic
Indicates that one entity (typically a game or system) includes a mechanic that temporarily increases the power, speed, or effectiveness of another entity.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: May 3, 2026, 4:32 p.m.