Triple
T33869230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimpy |
E868149
|
entity |
| Predicate | hasMannerism |
P203267
|
FINISHED |
| Object | constant scheming for free meals |
—
|
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: constant scheming for free meals | Statement: [Wimpy, hasMannerism, constant scheming for free meals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMannerism Context triple: [Wimpy, hasMannerism, constant scheming for free meals]
-
A.
hasAltarpiecesInStyle
Indicates that an entity possesses or features altarpieces that are created or designed in a specified artistic style.
-
B.
hasMatureArtisticDirection
Indicates that an entity’s artistic choices or style have reached a developed, refined, and fully realized stage of creative direction.
-
C.
hasArtisticSensibility
Indicates that an entity possesses a refined awareness, appreciation, or judgment of artistic qualities such as style, aesthetics, and creative expression.
-
D.
hasSculptureStyle
Indicates that a sculpture is created in, or associated with, a particular artistic style or sculptural tradition.
-
E.
hasArtisticOrigin
Indicates that something originates from, is derived from, or is rooted in an artistic source, style, or tradition.
- F. None of above. chosen
Provenance (4 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_6a0144c6bd20819093562eb03dc5b2c8 |
completed | May 11, 2026, 2:53 a.m. |
Created at: May 1, 2026, 1:47 a.m.