Triple
T24877356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Goal Wins |
E622607
|
entity |
| Predicate | hasReviewAggregate |
P90724
|
FINISHED |
| Object | generally positive critical reception |
—
|
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: generally positive critical reception | Statement: [Next Goal Wins, hasReviewAggregate, generally positive critical reception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReviewAggregate Context triple: [Next Goal Wins, hasReviewAggregate, generally positive critical reception]
-
A.
reviewAggregate
chosen
Indicates a summarized evaluation relationship where multiple individual reviews are combined into an overall rating or assessment for an entity.
-
B.
hasReviewReception
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
-
C.
hasRecension
Indicates that one textual version or edition is a revised or alternative form of another text.
-
D.
hasReviewBody
Indicates that an entity has an associated textual review content or body describing an evaluation or opinion about it.
-
E.
hasReviewed
Indicates that one entity has examined, evaluated, or provided feedback on another entity (such as a work, product, or performance).
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 5:24 a.m.