Triple
T25557134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Brady |
E640601
|
entity |
| Predicate | houseTypeDesigned |
P159455
|
FINISHED |
| Object | suburban family home |
—
|
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: suburban family home | Statement: [Mike Brady, houseTypeDesigned, suburban family home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseTypeDesigned Context triple: [Mike Brady, houseTypeDesigned, suburban family home]
-
A.
typeOfHouse
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
-
B.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
C.
designedBuildingNowHousing
Indicates that an entity designed a building which is currently being used as a housing facility.
-
D.
houseProduced
Indicates that a house or housing unit was created, built, or generated by a particular agent, process, or source.
-
E.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8cb186c819099b247e4a8cbd367 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 3:40 p.m.