Triple
T16481712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snowmen |
E400333
|
entity |
| Predicate | featuresMonsterType |
P18264
|
FINISHED |
| Object | sentient snow |
—
|
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: sentient snow | Statement: [The Snowmen, featuresMonsterType, sentient snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMonsterType Context triple: [The Snowmen, featuresMonsterType, sentient snow]
-
A.
featuresMonster
chosen
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
B.
mainMonsterDescription
Indicates the primary descriptive text that characterizes the main monster in a given context or scenario.
-
C.
speciesTypeInMarvel
Indicates that a given species is classified as a particular type of species within the Marvel universe.
-
D.
featuresCreatureOrLegend
Indicates that something includes, depicts, or prominently involves a particular creature or legendary being.
-
E.
enemySpecies
Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e02b2c881909576a23bfbd3123c |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.