Triple
T23557893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reboot |
E579135
|
entity |
| Predicate | hasReviewFocus |
P152789
|
FINISHED |
| Object | reinterpretation of 1990s and 2000s country hits |
—
|
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: reinterpretation of 1990s and 2000s country hits | Statement: [Reboot, hasReviewFocus, reinterpretation of 1990s and 2000s country hits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReviewFocus Context triple: [Reboot, hasReviewFocus, reinterpretation of 1990s and 2000s country hits]
-
A.
hasRatingFocus
Indicates that an entity’s primary emphasis or concern is on ratings, such as scores, reviews, or evaluative metrics.
-
B.
hasReviewed
Indicates that one entity has examined, evaluated, or provided feedback on another entity (such as a work, product, or performance).
-
C.
hasReviewReception
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
-
D.
hasReviewPeriod
Indicates that an entity is associated with a specific time span during which it is subject to review or evaluation.
-
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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af659e9881908b527accfd2b1187 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:12 p.m.