Triple
T1300973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy |
E27761
|
entity |
| Predicate | hasNomineeCountTypical |
P12579
|
FINISHED |
| Object | 5 nominees per year |
—
|
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: 5 nominees per year | Statement: [Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy, hasNomineeCountTypical, 5 nominees per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNomineeCountTypical Context triple: [Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy, hasNomineeCountTypical, 5 nominees per year]
-
A.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
B.
hasNomineeType
Indicates that an entity has a nominee belonging to a specified type or category.
-
C.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
-
D.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
E.
nominationReceivedBy
Indicates that an entity has received a nomination from another entity or source.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c1145c2481908adf22dfd6ce349b |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.