Triple
T59933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern mockingbird |
E1187
|
entity |
| Predicate | plumage |
P60
|
FINISHED |
| Object | gray upperparts |
—
|
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: gray upperparts | Statement: [Northern mockingbird, plumage, gray upperparts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plumage Context triple: [Northern mockingbird, plumage, gray upperparts]
-
A.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
B.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
C.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
D.
nationalBird
Indicates that one entity is officially designated as the national bird or avian symbol of another entity (typically a country or region).
-
E.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.