Triple
T31103611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | melange |
E792737
|
entity |
| Predicate | effectOnEyes |
P182262
|
FINISHED |
| Object | turns eyes blue-within-blue |
—
|
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: turns eyes blue-within-blue | Statement: [melange, effectOnEyes, turns eyes blue-within-blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnEyes Context triple: [melange, effectOnEyes, turns eyes blue-within-blue]
-
A.
sapEffectOnEyes
Indicates the effect that sap has on eyes.
-
B.
effectOnLacrimalGlands
Indicates an effect that one entity has on the function, structure, or activity of the lacrimal glands.
-
C.
effectOnLens
Indicates the influence or impact that one entity has on the properties, behavior, or performance of a lens.
-
D.
effectOnSkin
Indicates the impact or influence that something has on the condition, appearance, or health of skin.
-
E.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 29, 2026, 9:03 p.m.