Triple
T8898476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | medium tree finch |
E211864
|
entity |
| Predicate | primaryColorFemale |
P24916
|
FINISHED |
| Object | duller brown |
—
|
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: duller brown | Statement: [medium tree finch, primaryColorFemale, duller brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorFemale Context triple: [medium tree finch, primaryColorFemale, duller brown]
-
A.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
B.
primaryColour
chosen
Indicates that one entity is the main or dominant color characteristic of another entity.
-
C.
femaleCrownColor
Indicates the color of the crown (top of the head) specifically for the female individual in a species or group.
-
D.
primaryAppearance
Indicates that the referenced entity is the main or most prominent visual or representational form in which another entity is typically depicted or recognized.
-
E.
femaleFeature
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642618908190b3df50cbbabff93d |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.