Triple
T7893570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rony Kahan |
E183294
|
entity |
| Predicate | coFoundedWith |
P2835
|
FINISHED |
| Object | Paul Forster |
E217740
|
NE 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: Paul Forster | Statement: [Rony Kahan, coFoundedWith, Paul Forster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Forster Context triple: [Rony Kahan, coFoundedWith, Paul Forster]
-
A.
Paul Forster
chosen
Paul Forster is an entrepreneur best known as a co-founder of the global job search engine Indeed.
-
B.
Ray Foster
Ray Foster is a fictional record executive character in the 2018 Queen biographical film "Bohemian Rhapsody," loosely inspired by real-life EMI executive Roy Featherstone.
-
C.
Dan Forester
Dan Forester is a former soldier turned high school teacher who is drafted into a future war against alien invaders in the science fiction film "The Tomorrow War."
-
D.
James Foster
James Foster is an economist known for his influential work on poverty measurement and social welfare, including co-developing the widely used Foster-Greer-Thorbecke (FGT) poverty indices.
-
E.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba9c2ac8190b8faf1518390dff4 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.