Triple
T3065984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of the Union |
E62104
|
entity |
| Predicate | secondSeasonPremiereYear |
P44206
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [State of the Union, secondSeasonPremiereYear, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSeasonPremiereYear Context triple: [State of the Union, secondSeasonPremiereYear, 2021]
-
A.
secondSeasonChampionYear
Indicates the year in which an entity won a championship for the second season.
-
B.
secondSeasonCoversPeriod
Indicates that the second season of a series or show portrays, is set in, or narratively spans a specific time period or historical interval.
-
C.
secondSeriesPublicationYear
Indicates the year in which the second series or installment of a work was published.
-
D.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
-
E.
secondSessionStartYear
Indicates the calendar year in which an entity’s second session begins.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.