Triple
T25408037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Town Girl |
E636609
|
entity |
| Predicate | isBlackAndWhiteOrColor |
P13343
|
FINISHED |
| Object | color |
—
|
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: color | Statement: [Small Town Girl, isBlackAndWhiteOrColor, color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBlackAndWhiteOrColor Context triple: [Small Town Girl, isBlackAndWhiteOrColor, color]
-
A.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
B.
hasFilmColorType
chosen
Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
-
C.
blackAndWhite
Indicates that something is presented or exists in only black and white, without any other colors.
-
D.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
E.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5b00c2a7481908f677dce983de140 |
completed | May 2, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:52 p.m.