Triple
T3271469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Rap Album |
E68656
|
entity |
| Predicate | hasSubsequent |
P47020
|
FINISHED |
| Object | annual winners list |
—
|
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: annual winners list | Statement: [Grammy Award for Best Rap Album, hasSubsequent, annual winners list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequent Context triple: [Grammy Award for Best Rap Album, hasSubsequent, annual winners list]
-
A.
hasSubsequentWork
Indicates that one work is followed by another work that continues, succeeds, or builds upon it in sequence.
-
B.
hasSubsequentStandard
Indicates that one standard is followed or superseded by another standard that comes after it in sequence or version.
-
C.
hasSubsequentInfluence
Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
-
D.
hasSubsequentAward
Indicates that an entity has received an additional award that follows a previous award in time or sequence.
-
E.
hasSequelLikeCycle
Indicates that a work is part of a sequence where sequels form a cycle, such that following the sequel relationships eventually leads back to the original work.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.