Triple
T36938215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eruptor |
E913673
|
entity |
| Predicate | toyFigureType |
P92657
|
FINISHED |
| Object | standard Skylander figure |
—
|
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: standard Skylander figure | Statement: [Eruptor, toyFigureType, standard Skylander figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyFigureType Context triple: [Eruptor, toyFigureType, standard Skylander figure]
-
A.
toyType
chosen
Indicates the specific category or kind of toy that an item belongs to.
-
B.
isToyToLifeFigure
Indicates that an object is a physical toy figure designed to be digitally activated or used within a video game or virtual environment.
-
C.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
D.
figurineTheme
Indicates that a figurine is characterized by or represents a particular theme.
-
E.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1622a08190ace6056b9b5cad80 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.