Triple
T17336607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilitch family |
E420951
|
entity |
| Predicate | businessStart |
P19812
|
FINISHED |
| Object | Little Caesars founded in 1959 |
—
|
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: Little Caesars founded in 1959 | Statement: [Ilitch family, businessStart, Little Caesars founded in 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessStart Context triple: [Ilitch family, businessStart, Little Caesars founded in 1959]
-
A.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
-
B.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
C.
businessGeneration
Indicates that one entity is responsible for creating, initiating, or driving new business opportunities, revenue, or commercial activity for another entity.
-
D.
businessPlanSubject
Indicates that one entity is the subject or main focus of a business plan associated with another entity.
-
E.
businessOrigin
chosen
Indicates the place, source, or context from which a business or commercial entity originates or was established.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a121aa081908a62fa59d3d28765 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.