Triple
T1964203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie |
E42651
|
entity |
| Predicate | originalNameUsedInYears |
P33285
|
FINISHED |
| Object | 1973–1974 |
—
|
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: 1973–1974 | Statement: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, originalNameUsedInYears, 1973–1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNameUsedInYears Context triple: [Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie, originalNameUsedInYears, 1973–1974]
-
A.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
formerNamePeriodStart
Indicates the date or time point when an entity began using a former name that is being recorded.
-
D.
firstYearUnderCurrentName
Indicates the first year in which an entity began operating or being known under its current name.
-
E.
currentNameUsedFrom
Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
- 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_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. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:36 p.m.