Triple
T21809972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rénergie Yeux |
E538445
|
entity |
| Predicate | concernAddressed |
P131057
|
FINISHED |
| Object | wrinkles |
—
|
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: wrinkles | Statement: [Rénergie Yeux, concernAddressed, wrinkles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernAddressed Context triple: [Rénergie Yeux, concernAddressed, wrinkles]
-
A.
concernsAddressed
chosen
Indicates that specific issues, worries, or topics raised by one party have been acknowledged and dealt with by another party.
-
B.
concernsProvision
Indicates a relationship where something is about, deals with, or relates to the supplying or making available of resources, services, or necessities.
-
C.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
-
D.
concernsFeature
Indicates that something is about, relates to, or involves a particular feature.
-
E.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc5fd948190a404a050404db975 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.