Triple
T4371791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R |
E98913
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Ross Ihaka
Ross Ihaka is a New Zealand statistician best known as one of the original creators of the R programming language.
|
E436324
|
NE FINISHED |
How this triple was built (4 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: [R, developer, Ross Ihaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Ihaka Context triple: [R, developer, Ross Ihaka]
-
A.
David Flanagan
David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
-
B.
Robert Kern
Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
-
C.
John Longley
John Longley is the son of Charles Longley, who served as Archbishop of Canterbury in the 19th century.
-
D.
Barton Myers
Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
-
E.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ross Ihaka Triple: [R, developer, Ross Ihaka]
Generated description
Ross Ihaka is a New Zealand statistician best known as one of the original creators of the R programming language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ross Ihaka Target entity description: Ross Ihaka is a New Zealand statistician best known as one of the original creators of the R programming language.
-
A.
David Flanagan
David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
-
B.
Robert Kern
Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
-
C.
John Longley
John Longley is the son of Charles Longley, who served as Archbishop of Canterbury in the 19th century.
-
D.
Barton Myers
Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
-
E.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
- F. None of above. chosen
Provenance (5 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50bcc9481909b0b9d60198dce63 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5eeadd68881909820a75aaff9d8d5 |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef36f2bc8190a21e0f2fadbdd697 |
completed | March 14, 2026, 11:28 p.m. |
Created at: March 12, 2026, 11:17 p.m.