Triple
T16019102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Wright |
E388551
|
entity |
| Predicate | televisionDepartureYear |
P113345
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [Barbara Wright, televisionDepartureYear, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionDepartureYear Context triple: [Barbara Wright, televisionDepartureYear, 1965]
-
A.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
B.
televisionDebutInDecade
Indicates that an entity made its first appearance on television during a specified decade.
-
C.
screenDebutYear
Indicates the year in which an entity first appeared on screen (such as in film, television, or other recorded visual media).
-
D.
televisionAdaptationDecade
Indicates the decade during which a work was adapted into a television production.
-
E.
finalTelevisionAppearanceYear
chosen
Indicates the year in which an entity made its last television appearance.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.