Triple
T10633182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Wozniak |
E250509
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Suzanne Mulkern |
E250509
|
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: Suzanne Mulkern | Statement: [Steve Wozniak, spouse, Suzanne Mulkern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Mulkern Context triple: [Steve Wozniak, spouse, Suzanne Mulkern]
-
A.
Suzanne Mulkern
chosen
Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
-
B.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
C.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
D.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
E.
Suzanne McCormack
Suzanne McCormack is a television producer best known for her executive production work on the dark comedy-drama series "The Flight Attendant."
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5424a26688190a49c3920d0edb546 |
completed | April 19, 2026, 8:59 p.m. |
Created at: April 8, 2026, 9:02 p.m.