Triple
T17859782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. O. Jeppson |
E446037
|
entity |
| Predicate | marriedName |
P18
|
FINISHED |
| Object | Janet Asimov |
—
|
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: Janet Asimov | Statement: [J. O. Jeppson, marriedName, Janet Asimov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Asimov Context triple: [J. O. Jeppson, marriedName, Janet Asimov]
-
A.
Janet Asimov
chosen
Janet Asimov was an American psychiatrist, psychoanalyst, and science fiction writer who collaborated with and was married to author Isaac Asimov.
-
B.
David Asimov
David Asimov is the son of famed science fiction author Isaac Asimov, known primarily for this familial connection.
-
C.
Maye Haldeman
Maye Haldeman is a Canadian-South African model and dietitian best known as Maye Musk, the mother of entrepreneur Elon Musk and a prominent figure in fashion and nutrition.
-
D.
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
-
E.
Winnifred Josephine Haldeman
Winnifred Josephine Haldeman was the wife of Canadian-American chiropractor and political activist Joshua Haldeman and the grandmother of entrepreneur Elon Musk.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978f34948190a25deb4fd617ad72 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.