Triple
T3066789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life and Death of Peter Sellers |
E62120
|
entity |
| Predicate | networkPremiereLocation |
P44208
|
FINISHED |
| Object | United States television |
—
|
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: United States television | Statement: [The Life and Death of Peter Sellers, networkPremiereLocation, United States television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkPremiereLocation Context triple: [The Life and Death of Peter Sellers, networkPremiereLocation, United States television]
-
A.
premiereLocation
Indicates the place where something (such as a film, play, or event) is first publicly presented or debuted.
-
B.
worldPremiereState
Indicates the state or region in which a work (such as a film, play, or performance) had its first-ever public showing or debut.
-
C.
openingShowLocation
Indicates the place where an opening show or premiere event takes place.
-
D.
networkServed
Indicates that a network provides connectivity or services to a particular entity or set of entities.
-
E.
availableOnlineAt
Indicates that something can be accessed or obtained via a specified online source or location.
- 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.