Triple
T20759208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumify |
E510928
|
entity |
| Predicate | effectOnAppearance |
P311
|
FINISHED |
| Object | whitens eye sclera appearance |
—
|
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: whitens eye sclera appearance | Statement: [Lumify, effectOnAppearance, whitens eye sclera appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnAppearance Context triple: [Lumify, effectOnAppearance, whitens eye sclera appearance]
-
A.
effectOnRepresentation
Indicates how one entity influences, alters, or determines the form, quality, or characteristics of another entity’s representation.
-
B.
adaptationAppearance
Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
-
C.
appearance
chosen
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
-
D.
publicAppearance
Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.