Triple
T8431089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherish the Day |
E199114
|
entity |
| Predicate | anthologyStructure |
P71401
|
FINISHED |
| Object | each season follows a different couple |
—
|
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: each season follows a different couple | Statement: [Cherish the Day, anthologyStructure, each season follows a different couple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anthologyStructure Context triple: [Cherish the Day, anthologyStructure, each season follows a different couple]
-
A.
isAnthologySegmentOf
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
hasAnthologyFormat
chosen
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
-
C.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
D.
literaryUnit
Indicates that one entity is a distinct segment or component (such as a chapter, scene, or passage) within a larger literary work or text.
-
E.
literaryCollection
Indicates that one entity is a collection or compilation of literary works that includes or is associated with the other entity.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.