Triple
T22896109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gould’s turkey |
E568177
|
entity |
| Predicate | maleDisplayFeature |
P78622
|
FINISHED |
| Object | iridescent body feathers |
—
|
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: iridescent body feathers | Statement: [Gould’s turkey, maleDisplayFeature, iridescent body feathers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleDisplayFeature Context triple: [Gould’s turkey, maleDisplayFeature, iridescent body feathers]
-
A.
maleFeature
chosen
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
B.
featuredGender
Indicates that a particular gender is highlighted, emphasized, or given primary focus in a given context or presentation.
-
C.
femaleFeature
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
-
D.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
E.
matingDisplay
Indicates a behavior or display performed by one organism to attract or court a potential mate.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801212808190b6471764d6c0b264 |
completed | April 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.