Triple
T9801443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Yellow Bastard |
E237845
|
entity |
| Predicate | colorMotif |
P46606
|
FINISHED |
| Object | yellow used to highlight the antagonist |
—
|
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: yellow used to highlight the antagonist | Statement: [That Yellow Bastard, colorMotif, yellow used to highlight the antagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorMotif Context triple: [That Yellow Bastard, colorMotif, yellow used to highlight the antagonist]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
C.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
D.
colorHasMeaning
chosen
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.