Triple
T9565837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy "Tootie" Ramsey |
E230786
|
entity |
| Predicate | seriesLanguage |
P51969
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Dorothy "Tootie" Ramsey, seriesLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesLanguage Context triple: [Dorothy "Tootie" Ramsey, seriesLanguage, English]
-
A.
languageOfSeries
chosen
Indicates the language in which a series is primarily produced, presented, or officially released.
-
B.
languageOfFictionalUniverse
Indicates the language used or spoken within a fictional universe or setting.
-
C.
seriesSubject
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
-
D.
alsoWrittenIn
Indicates that the same content, work, or information is expressed or available in an additional language, script, or writing system.
-
E.
literarySeriesGenre
Indicates that a literary series belongs to or is categorized under a particular genre.
- 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.