Triple
T8674434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award nomination |
E205877
|
entity |
| Predicate | hasMinimum |
P84417
|
FINISHED |
| Object | five nominees in most categories |
—
|
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: five nominees in most categories | Statement: [Grammy Award nomination, hasMinimum, five nominees in most categories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimum Context triple: [Grammy Award nomination, hasMinimum, five nominees in most categories]
-
A.
hasMinimumValue
Indicates that an entity possesses a value that is the lowest permissible or observed within a specified set, range, or context.
-
B.
hasMinimumSize
Indicates that an entity meets or exceeds a specified minimum size threshold.
-
C.
hasMinimumLength
Indicates that the length of an entity (such as a sequence, string, or collection) is greater than or equal to a specified minimum value.
-
D.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
E.
meetsAtLeast
Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc4ae517108190a71a86349815f4ce |
completed | March 31, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:31 p.m.