Triple
T5558724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smiling Spider |
E145712
|
entity |
| Predicate | colorMode |
P30377
|
FINISHED |
| Object | black and white |
—
|
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: black and white | Statement: [The Smiling Spider, colorMode, black and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorMode Context triple: [The Smiling Spider, colorMode, black and white]
-
A.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
B.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
C.
colorTheory
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
-
D.
colorSystemCompatibleWith
Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
-
E.
displayMode
chosen
Indicates how content or information is visually presented or arranged to the user.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.