Triple
T26450285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taphrinomycotina |
E665328
|
entity |
| Predicate | hasAnamorphType |
P169547
|
FINISHED |
| Object | yeast |
—
|
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: yeast | Statement: [Taphrinomycotina, hasAnamorphType, yeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnamorphType Context triple: [Taphrinomycotina, hasAnamorphType, yeast]
-
A.
hasAnimationType
Indicates the specific style or method of animation applied to an entity or its visual content.
-
B.
anamorphOf
Indicates that one entity is an anamorphic transformation or distorted projection of another, typically related by a specific viewing angle or optical correction.
-
C.
anamorphicSqueezeFactor
Indicates the degree to which an image or signal has been horizontally compressed (or must be expanded) by an anamorphic process, expressed as a scaling factor.
-
D.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
E.
hasFilmSetType
Indicates that a film or scene is associated with a particular type or category of set used in its production.
- F. None of above. chosen
Provenance (4 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 27, 2026, 12:05 a.m.