Triple
T10418813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Grose |
E245589
|
entity |
| Predicate | relationshipToChildren |
P93488
|
FINISHED |
| Object | caretaker of Miles and Flora |
—
|
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: caretaker of Miles and Flora | Statement: [Mrs. Grose, relationshipToChildren, caretaker of Miles and Flora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToChildren Context triple: [Mrs. Grose, relationshipToChildren, caretaker of Miles and Flora]
-
A.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
B.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
C.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
-
D.
relationshipWithFather
Indicates a familial relationship that specifically connects an individual to their father.
-
E.
refersToPersonChild
Indicates that one entity makes reference to another entity specifically in the role of that other entity’s child.
- F. None of above. chosen
Provenance (4 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2938188190a908316d0a0959be |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:11 p.m.