Triple
T23739990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blind-your-eye mangrove |
E586647
|
entity |
| Predicate | sapEffectOnEyes |
P153508
|
FINISHED |
| Object | irritating |
—
|
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: irritating | Statement: [blind-your-eye mangrove, sapEffectOnEyes, irritating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sapEffectOnEyes Context triple: [blind-your-eye mangrove, sapEffectOnEyes, irritating]
-
A.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
B.
eyePatch
Indicates that one entity wears or has an eye patch, typically covering one of their eyes.
-
C.
eyeMigration
Indicates the movement or displacement of an eye (or eyes) from one position to another within an organism’s body or visual system.
-
D.
effectOnLens
Indicates the influence or impact that one entity has on the properties, behavior, or performance of a lens.
-
E.
fromEyes
Indicates that something originates from, is emitted by, or comes out of the eyes of an entity.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad5209081909c44380816bec377 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.