Triple
T21811079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milady’s Boudoir |
E538471
|
entity |
| Predicate | relationToAuntDahlia |
P145745
|
FINISHED |
| Object | main business concern |
—
|
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: main business concern | Statement: [Milady’s Boudoir, relationToAuntDahlia, main business concern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToAuntDahlia Context triple: [Milady’s Boudoir, relationToAuntDahlia, main business concern]
-
A.
relationshipToAuntEller
Indicates the specific familial relationship that an entity has to Aunt Eller (e.g., whether and how they are related to her).
-
B.
auntOf
Indicates that one person is the aunt of another, typically as the sibling (or sibling-in-law) of a parent or sometimes an older female relative in an extended family role.
-
C.
maternalAuntOrUncle
Indicates that one person is the sibling of another person's mother, regardless of the sibling's gender.
-
D.
uncleOrAuntOf
Indicates that one person is the uncle or aunt of another person, typically as the sibling (or sibling-in-law) of the other person’s parent.
-
E.
hasAunt
Indicates that one entity is the aunt of another, typically meaning a sister (or sister-in-law) of a parent of that entity.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc5fd948190a404a050404db975 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:53 p.m.