Triple
T471488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Song Written for Visual Media |
E8566
|
entity |
| Predicate | recognizesContributionOf |
P107
|
FINISHED |
| Object | composers |
—
|
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: composers | Statement: [Grammy Award for Best Song Written for Visual Media, recognizesContributionOf, composers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesContributionOf Context triple: [Grammy Award for Best Song Written for Visual Media, recognizesContributionOf, composers]
-
A.
notableContribution
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
B.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
C.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
D.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff0ca408190958405aec2ec6f53 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.