Triple
T21119034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elrey Borge Jeppesen |
E520375
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nadine Jeppesen |
—
|
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: Nadine Jeppesen | Statement: [Elrey Borge Jeppesen, spouse, Nadine Jeppesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadine Jeppesen Context triple: [Elrey Borge Jeppesen, spouse, Nadine Jeppesen]
-
A.
Nadine Jeppesen
chosen
Nadine Jeppesen was the wife and partner of aviation pioneer Elrey Borge Jeppesen, known for supporting his early flying career and business endeavors.
-
B.
Janine Nielsen
Janine Nielsen is a central character in the television film "What Makes a Family," which explores themes of LGBTQ+ parenting, family rights, and legal struggles over child custody.
-
C.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
D.
Lisa Janssen
Lisa Janssen is a musician best known for her role as a past member of the influential indie rock band Neutral Milk Hotel.
-
E.
Tina Christensen
Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223176c48190bfbaea41c2209a15 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.