Triple
T22250651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Michaela Quinn |
E549966
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Byron Sully |
—
|
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: Byron Sully | Statement: [Dr. Michaela Quinn, spouse, Byron Sully]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Sully Context triple: [Dr. Michaela Quinn, spouse, Byron Sully]
-
A.
Byron Sully
chosen
Byron Sully is a rugged, nature-loving frontiersman and love interest of Dr. Michaela Quinn in the television series "Dr. Quinn, Medicine Woman."
-
B.
Byron Corbett
Byron Corbett is an individual notable enough to be recognized as a prominent bearer of the surname Corbett.
-
C.
Byron Keith
Byron Keith was an American character actor best known for his supporting roles in mid-20th-century film and television, including crime and detective series.
-
D.
Byron Webster
Byron Webster was a stage actor known for his work in musical theatre, including roles in prominent Broadway productions.
-
E.
Byron Paul
Byron Paul was an American film and television producer and occasional actor active in mid-20th-century Hollywood.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bd45e88190919660d50c0b94bc |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.