Triple
T24878262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afterglow |
E622631
|
entity |
| Predicate | reviewFocus |
P51335
|
FINISHED |
| Object | Julie Christie's acclaimed performance |
—
|
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: Julie Christie's acclaimed performance | Statement: [Afterglow, reviewFocus, Julie Christie's acclaimed performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewFocus Context triple: [Afterglow, reviewFocus, Julie Christie's acclaimed performance]
-
A.
reviewScope
chosen
Indicates the extent, boundaries, or aspects of something that are covered, considered, or evaluated during a review.
-
B.
reviewType
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
C.
reviewOf
Indicates that one entity is a critical or evaluative assessment that is about or directed toward another entity.
-
D.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
-
E.
commentaryFocus
Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.