Triple
T21068178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fish |
E519030
|
entity |
| Predicate | colorDepiction |
P60
|
FINISHED |
| Object | often white with black outlines |
—
|
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: often white with black outlines | Statement: [The Fish, colorDepiction, often white with black outlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorDepiction Context triple: [The Fish, colorDepiction, often white with black outlines]
-
A.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
C.
colorInIconography
Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
-
D.
colorDependsOn
Indicates that the color of one entity is determined or influenced by the color or properties of another entity.
-
E.
colorReferenceExplains
Indicates that one color reference serves to clarify, define, or provide explanatory information about another color-related element or notation.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb5772481909e32af3b3a69df76 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.