Triple
T35356110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Dawes |
E1021330
|
entity |
| Predicate | relationshipTypeWithPeteCampbell |
P132192
|
FINISHED |
| Object | extramarital affair |
—
|
LITERAL 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: extramarital affair | Statement: [Beth Dawes, relationshipTypeWithPeteCampbell, extramarital affair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPeteCampbell Context triple: [Beth Dawes, relationshipTypeWithPeteCampbell, extramarital affair]
-
A.
relationshipTypeWithChristineCampbell
Indicates the specific nature or category of relationship that an entity has with Christine Campbell.
-
B.
relationshipToPete
chosen
Indicates the specific type of relationship or connection that an entity has to Pete.
-
C.
relationshipToPeter
Indicates the specific type of relationship or connection that an entity has to Peter.
-
D.
roleInLeanOnPete
Indicates that an entity has a specific role or involvement in the work titled "Lean on Pete."
-
E.
roleOfPeteStaples
Indicates that the specified role or position is held or performed by Pete Staples.
- F. None of above.
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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.