Triple
T7143833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN button |
E166514
|
entity |
| Predicate | publicReception |
P9562
|
FINISHED |
| Object | often criticized as superficial |
—
|
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: often criticized as superficial | Statement: [WIN button, publicReception, often criticized as superficial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicReception Context triple: [WIN button, publicReception, often criticized as superficial]
-
A.
receptions
Indicates that one entity formally receives, welcomes, or hosts another entity, often in a social, ceremonial, or official context.
-
B.
reception
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
-
C.
laterReception
Indicates that one entity receives or accepts something at a time that is later than when another related reception or event occurs.
-
D.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
E.
initialReception
chosen
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d027d0819088598b2a9f71b1b7 |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.