Triple
T27595961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran Fine |
E699897
|
entity |
| Predicate | employedAsNannyFor |
P135368
|
FINISHED |
| Object | Sheffield family |
—
|
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: Sheffield family | Statement: [Fran Fine, employedAsNannyFor, Sheffield family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedAsNannyFor Context triple: [Fran Fine, employedAsNannyFor, Sheffield family]
-
A.
hasChildCare
Indicates that an entity provides, offers, or is associated with child care services or facilities for children.
-
B.
sitterOf
Indicates that one entity serves as a caretaker or babysitter responsible for looking after another entity.
-
C.
hasNannyCharacter
chosen
Indicates that one entity serves as a nanny or caregiver character for another entity.
-
D.
employedByFamily
Indicates that a person is employed in a job or role by a family member or a family-owned entity.
-
E.
householdStaff
Indicates that one entity serves as domestic or household staff for another entity, typically within a private residence.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 2:06 p.m.