Triple
T8494259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Asimov |
E201054
|
entity |
| Predicate | maidenSurname |
P36176
|
FINISHED |
| Object | Jeppson |
E201054
|
NE 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: Jeppson | Statement: [Janet Asimov, maidenSurname, Jeppson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeppson Context triple: [Janet Asimov, maidenSurname, Jeppson]
-
A.
Jeppson
chosen
Jeppson is the maiden surname of American psychiatrist and science fiction writer Janet Asimov.
-
B.
Southworth
Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
-
C.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
D.
Pardee
Pardee is a surname most notably associated with George Pardee, a Progressive-era governor of California and public health advocate.
-
E.
Sheeler
Sheeler is a surname most notably associated with Charles Sheeler, an influential American painter and photographer known for his Precisionist depictions of industrial and urban landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a5c260c8190bc7012a04363d260 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:13 p.m.