Triple
T37153117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zartan |
E920415
|
entity |
| Predicate | toyFeature |
P25458
|
FINISHED |
| Object | color-changing plastic (original action 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: color-changing plastic (original action figure) | Statement: [Zartan, toyFeature, color-changing plastic (original action figure)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyFeature Context triple: [Zartan, toyFeature, color-changing plastic (original action figure)]
-
A.
robotFeature
Indicates that a robot possesses or is characterized by a particular feature or attribute.
-
B.
equipmentCharacteristic
chosen
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
brandFeatures
Indicates that a brand includes, offers, or is characterized by a particular feature or attribute.
-
E.
featuresItem
Indicates that one entity includes, presents, or highlights another entity as a notable item or component.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.