Triple
T1964205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie |
E42651
|
entity |
| Predicate | categoryRenamedInYear |
P1742
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, categoryRenamedInYear, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryRenamedInYear Context triple: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, categoryRenamedInYear, 1975]
-
A.
renamedYear
chosen
Indicates the year in which an entity underwent a renaming or change of name.
-
B.
redefinitionYear
Indicates the year in which something was redefined, such as when its definition, scope, or formal status was officially changed.
-
C.
reclassificationYear
Indicates the year in which something was reassigned to a different category, status, or classification.
-
D.
banYear
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
-
E.
renamingAnnouncedBy
Indicates that an entity’s change of name has been publicly announced or made known by another specified entity.
- 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.