Triple
T34735277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Melbury |
E1001320
|
entity |
| Predicate | fatherDaughterDynamic |
P180733
|
FINISHED |
| Object | subject to George Melbury’s social ambitions |
—
|
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: subject to George Melbury’s social ambitions | Statement: [Grace Melbury, fatherDaughterDynamic, subject to George Melbury’s social ambitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherDaughterDynamic Context triple: [Grace Melbury, fatherDaughterDynamic, subject to George Melbury’s social ambitions]
-
A.
familyDynamic
chosen
Indicates the nature and patterns of interaction, roles, and emotional relationships among members within a family unit.
-
B.
daughterOf
Indicates that one person is the female child (daughter) of another person.
-
C.
raisesAsDaughter
Indicates that one entity brings up and cares for another as their daughter, in a parental role.
-
D.
daughters
Indicates that one entity is the female child of another entity.
-
E.
hasFatherDaughterConflict
Indicates a relationship in which a father and daughter are experiencing tension, disagreement, or unresolved conflict between them.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.