Triple
T30148851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellacourt family |
E766330
|
entity |
| Predicate | hasMansionType |
P119140
|
FINISHED |
| Object | Gilded Age mansion |
—
|
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: Gilded Age mansion | Statement: [Bellacourt family, hasMansionType, Gilded Age mansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMansionType Context triple: [Bellacourt family, hasMansionType, Gilded Age mansion]
-
A.
hasMotherhouseType
Indicates the specific type or classification of a religious community’s motherhouse associated with an entity.
-
B.
hasManorHouse
Indicates that one entity possesses or is associated with a manor house as a property or feature.
-
C.
hasMansionFounded
Indicates that an entity established or founded a particular mansion.
-
D.
hasEstateType
Indicates that an entity possesses or is associated with a particular category or type of estate.
-
E.
typeOfHouse
chosen
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: April 29, 2026, 7:19 p.m.