Triple
T16011128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouncer |
E388337
|
entity |
| Predicate | hasToyFigure |
P92657
|
FINISHED |
| Object | physical toys-to-life 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: physical toys-to-life figure | Statement: [Bouncer, hasToyFigure, physical toys-to-life figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToyFigure Context triple: [Bouncer, hasToyFigure, physical toys-to-life figure]
-
A.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
-
B.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
-
C.
hasFictionalCollector
Indicates that an entity is associated with a fictional character who collects or curates it.
-
D.
purchasesAsToy
Indicates that an entity buys another entity specifically for use or treatment as a toy.
-
E.
toyType
chosen
Indicates the specific category or kind of toy that an item belongs to.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.