Triple
T13008425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pig-Pen |
E322345
|
entity |
| Predicate | hasVisualTrait |
P31173
|
FINISHED |
| Object | messy appearance |
—
|
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: messy appearance | Statement: [Pig-Pen, hasVisualTrait, messy appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualTrait Context triple: [Pig-Pen, hasVisualTrait, messy appearance]
-
A.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
B.
eyeCharacteristic
Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
-
C.
hasEyeColor
Indicates that an entity possesses eyes of a specified color.
-
D.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
E.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:48 p.m.