Triple
T7893590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rony Kahan |
E183294
|
entity |
| Predicate | businessModelPioneerIn |
P10999
|
FINISHED |
| Object | pay-per-click job advertising |
—
|
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: pay-per-click job advertising | Statement: [Rony Kahan, businessModelPioneerIn, pay-per-click job advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessModelPioneerIn Context triple: [Rony Kahan, businessModelPioneerIn, pay-per-click job advertising]
-
A.
businessModelPioneerOf
chosen
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
B.
businessModelType
Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
-
C.
businessModelFocus
Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
-
D.
businessModelAdvocacy
Indicates that an entity promotes, supports, or argues in favor of a particular business model or way of generating value.
-
E.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.