Triple
T5896509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VAR |
E131113
|
entity |
| Predicate | reviewType |
P67205
|
FINISHED |
| Object | silent check |
—
|
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: silent check | Statement: [VAR, reviewType, silent check]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewType Context triple: [VAR, reviewType, silent check]
-
A.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
-
B.
reviewOf
Indicates that one entity is a critical or evaluative assessment that is about or directed toward another entity.
-
C.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
D.
reviewPhrase
Indicates that one entity expresses an evaluative or opinionated phrase about another entity, typically as part of a review or critique.
-
E.
hasRecension
Indicates that one textual version or edition is a revised or alternative form of another text.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.