Triple
T18291693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Carter |
E438129
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | James Wentzel |
—
|
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: James Wentzel | Statement: [Amy Carter, spouse, James Wentzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Wentzel Context triple: [Amy Carter, spouse, James Wentzel]
-
A.
James Wentzel
chosen
James Wentzel is an American computer consultant best known as the husband of Amy Carter, the daughter of former U.S. President Jimmy Carter.
-
B.
Lucas Adams
Lucas Adams is an American actor best known for his roles on television soap operas and drama series.
-
C.
James Robb
James Robb was a senior Royal Air Force officer who rose to high command during and after the Second World War, including leadership of Fighter Command.
-
D.
Cory Michael Smith
Cory Michael Smith is an American actor best known for portraying Edward Nygma/The Riddler on the television series "Gotham."
-
E.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e501000bd881909ae64ab64219bef6 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.