Triple
T3065983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of the Union |
E62104
|
entity |
| Predicate | firstSeasonPremiereYear |
P19145
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [State of the Union, firstSeasonPremiereYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonPremiereYear Context triple: [State of the Union, firstSeasonPremiereYear, 2019]
-
A.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
B.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
C.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
-
D.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
E.
firstRunningYear
chosen
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
- 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_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. |
Created at: March 8, 2026, 3:02 p.m.