Triple
T17826740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanne Copeland |
E445136
|
entity |
| Predicate | notablePeriodOfMarriage |
P78262
|
FINISHED |
| Object | early years of Johnny Carson’s national prominence |
—
|
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: early years of Johnny Carson’s national prominence | Statement: [Joanne Copeland, notablePeriodOfMarriage, early years of Johnny Carson’s national prominence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePeriodOfMarriage Context triple: [Joanne Copeland, notablePeriodOfMarriage, early years of Johnny Carson’s national prominence]
-
A.
maritalPeriodWith
chosen
Indicates the time span during which two entities were married to each other.
-
B.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
C.
hasNotableMarriage
Indicates a marital relationship involving the subject that is considered significant or noteworthy in some context.
-
D.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
E.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:15 a.m.