Triple
T37540544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flame Leviathan |
E933313
|
entity |
| Predicate | canDamageFriendlyCharacters |
P188227
|
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: [Flame Leviathan, canDamageFriendlyCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDamageFriendlyCharacters Context triple: [Flame Leviathan, canDamageFriendlyCharacters, true]
-
A.
cannotBeDamagedBy
Indicates that one entity is immune to harm, injury, or degradation caused by another specified entity or factor.
-
B.
canDamageStealthedMinions
Indicates that an entity has the ability to inflict damage on minions that are currently in a stealthed or hidden state.
-
C.
canKill
Indicates that one entity has the ability or potential to cause the death of another entity.
-
D.
damageTo
Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
-
E.
takesDamageFrom
Indicates that one entity receives or suffers damage as a result of an action, effect, or interaction caused by 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.