Triple
T9565854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy "Tootie" Ramsey |
E230786
|
entity |
| Predicate | decadeOfFirstBroadcastAppearance |
P80217
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Dorothy "Tootie" Ramsey, decadeOfFirstBroadcastAppearance, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeOfFirstBroadcastAppearance Context triple: [Dorothy "Tootie" Ramsey, decadeOfFirstBroadcastAppearance, 1970s]
-
A.
televisionDebutInDecade
chosen
Indicates that an entity made its first appearance on television during a specified decade.
-
B.
firstPresentedDecade
Indicates the decade during which something was first presented or introduced.
-
C.
originallyAiredInDecade
Indicates that the original broadcast or first airing of something (such as a show or episode) occurred during a specified decade.
-
D.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
E.
firstMajorBroadcastDate
Indicates the calendar date on which something (such as a program, event, or content) was first broadcast to a major or primary audience.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.