Triple
T18640235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Bakewell Audubon |
E455664
|
entity |
| Predicate | roleInHusbandsWork |
P103820
|
FINISHED |
| Object | managed household finances while John James Audubon traveled |
—
|
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: managed household finances while John James Audubon traveled | Statement: [Lucy Bakewell Audubon, roleInHusbandsWork, managed household finances while John James Audubon traveled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInHusbandsWork Context triple: [Lucy Bakewell Audubon, roleInHusbandsWork, managed household finances while John James Audubon traveled]
-
A.
roleInSpouseCareer
chosen
Indicates the nature or extent of a person’s involvement or influence in their spouse’s professional career.
-
B.
spouseInWork
Indicates that two entities are spouses within the context of a particular work (such as a book, film, or series), rather than in real life.
-
C.
householdRoleOfMother
Indicates the specific role or function that a mother holds within the household context.
-
D.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
E.
spousePlaceOfWork
Indicates that the place of work specified belongs to the spouse of the referenced person.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcbe3088190849f60b09d1e7e4b |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.