Triple
T21933222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At the Movies |
E541622
|
entity |
| Predicate | reviewScale |
P146607
|
FINISHED |
| Object | thumbs up |
—
|
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: thumbs up | Statement: [At the Movies, reviewScale, thumbs up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewScale Context triple: [At the Movies, reviewScale, thumbs up]
-
A.
reviewType
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
B.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
-
C.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
-
D.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
E.
reviewAggregate
Indicates a summarized evaluation relationship where multiple individual reviews are combined into an overall rating or assessment for an entity.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12400a1248190b3f8f27f2aa4a858 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:47 p.m.