Triple
T1518515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen |
E32172
|
entity |
| Predicate | featuresMagicalPower |
P19914
|
FINISHED |
| Object | ice and snow magic |
—
|
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: ice and snow magic | Statement: [Frozen, featuresMagicalPower, ice and snow magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMagicalPower Context triple: [Frozen, featuresMagicalPower, ice and snow magic]
-
A.
notablePower
Indicates that an entity possesses a significant or distinguished form of power, influence, or capability that is recognized as noteworthy.
-
B.
typeOfMagic
chosen
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
C.
featuresDeity
Indicates that a work, object, or context prominently includes, depicts, or centers around a particular deity.
-
D.
featuresMonster
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
E.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.