Triple
T6344227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HoopoeBirdStory |
E142703
|
entity |
| Predicate | portraysHoopoeAs |
P18297
|
FINISHED |
| Object | faithful servant |
—
|
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: faithful servant | Statement: [HoopoeBirdStory, portraysHoopoeAs, faithful servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysHoopoeAs Context triple: [HoopoeBirdStory, portraysHoopoeAs, faithful servant]
-
A.
oftenDepictedAs
chosen
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
-
B.
hasPerchDepicted
Indicates that a perch (such as a resting place or support for an animal or object) is visually represented or shown in association with the subject.
-
C.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
E.
parrotColor
Indicates the color attribute or hue associated with a parrot.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674702d08190806ef0998960b797 |
completed | March 22, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.