Triple
T1964207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie |
E42651
|
entity |
| Predicate | categoryRenamedInYears |
P22032
|
FINISHED |
| Object | 1979–1985 |
—
|
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: 1979–1985 | Statement: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, categoryRenamedInYears, 1979–1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryRenamedInYears Context triple: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, categoryRenamedInYears, 1979–1985]
-
A.
renamedYear
Indicates the year in which an entity underwent a renaming or change of name.
-
B.
formerCategory
Indicates that an entity previously belonged to a given category but no longer does.
-
C.
redefinitionYear
Indicates the year in which something was redefined, such as when its definition, scope, or formal status was officially changed.
-
D.
reclassificationYear
chosen
Indicates the year in which something was reassigned to a different category, status, or classification.
-
E.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ada4148190ad830d4a3d7fd662 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.