Triple
T18221854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Gentleman |
E436325
|
entity |
| Predicate | coWorkedWith |
P26607
|
FINISHED |
| Object | Ross Ihaka |
—
|
NE NERFINISHED |
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: Ross Ihaka | Statement: [Robert Gentleman, coWorkedWith, Ross Ihaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Ihaka Context triple: [Robert Gentleman, coWorkedWith, Ross Ihaka]
-
A.
Ross Ihaka
chosen
Ross Ihaka is a New Zealand statistician best known as one of the original creators of the R programming language.
-
B.
Hadley Wickham
Hadley Wickham is a prominent statistician and software developer best known for creating many of the core R packages in the tidyverse, which have transformed data analysis and visualization in R.
-
C.
Travis Oliphant
Travis Oliphant is an American data scientist and software developer best known as a primary creator of NumPy and SciPy and a key leader in the Python scientific computing ecosystem.
-
D.
Robin R. Christiansen
Robin R. Christiansen is an American politician who serves as the mayor of Dover, the capital city of Delaware.
-
E.
David Flanagan
David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.