Triple
T11859667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. F. Keith |
E282127
|
entity |
| Predicate | typeOfEnterpriseFounded |
P8556
|
FINISHED |
| Object | vaudeville theater circuit |
—
|
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: vaudeville theater circuit | Statement: [B. F. Keith, typeOfEnterpriseFounded, vaudeville theater circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEnterpriseFounded Context triple: [B. F. Keith, typeOfEnterpriseFounded, vaudeville theater circuit]
-
A.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
B.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
C.
organizationTypeFounded
chosen
Indicates the type or category of organization that was established or created in a founding event.
-
D.
typeOfEntrepreneur
Indicates the specific category or kind of entrepreneur that an entity is classified as.
-
E.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding entity.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.