Triple
T27234995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Secret of the Unicorn |
E682248
|
entity |
| Predicate | colorization |
P80716
|
FINISHED |
| Object | originally 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: originally black-and-white | Statement: [The Secret of the Unicorn, colorization, originally black-and-white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorization Context triple: [The Secret of the Unicorn, colorization, originally black-and-white]
-
A.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
B.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
C.
color work
Indicates that an entity applies or adds color to another entity, typically as part of a creative or finishing process.
-
D.
colorTreatment
chosen
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
E.
textureContrast
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 9:47 a.m.