Triple
T27014287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Vecsey |
E680482
|
entity |
| Predicate | coWroteBiographyOf |
P86935
|
FINISHED |
| Object | Loretta Lynn |
—
|
NE NERFINISHED |
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: Loretta Lynn | Statement: [George Vecsey, coWroteBiographyOf, Loretta Lynn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coWroteBiographyOf Context triple: [George Vecsey, coWroteBiographyOf, Loretta Lynn]
-
A.
biographyWrittenBy
Indicates that a biography about a person or entity was authored by a specific writer.
-
B.
isBiographerOf
chosen
Indicates that one person has written a biography about another person.
-
C.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
D.
wroteAutobiographicalWork
Indicates that a person is the author of a written work that is an account of their own life.
-
E.
hasWidelyDocumentedBiography
Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621fe880481908f62f711ac300825 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:05 a.m.