Triple
T13184937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Blumkin |
E313823
|
entity |
| Predicate | startedNebraskaFurnitureMartWithCapital |
P22134
|
FINISHED |
| Object | $500 |
—
|
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: $500 | Statement: [Rose Blumkin, startedNebraskaFurnitureMartWithCapital, $500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedNebraskaFurnitureMartWithCapital Context triple: [Rose Blumkin, startedNebraskaFurnitureMartWithCapital, $500]
-
A.
startedBusinessWith
Indicates that two or more entities jointly initiated or founded a business together.
-
B.
madeCapital
Indicates that one entity was designated or established as the capital city of another entity (such as a country, state, or region).
-
C.
usedCapital
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
D.
foundedWith
Indicates that an entity was established or created together with another entity, typically as co-founders or jointly initiated partners.
-
E.
hasFoundedCompany
chosen
Indicates that a person or entity has established or created a company.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.