Triple
T14343147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Odersky |
E355650
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Martin Odersky |
E355650
|
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: Martin Odersky | Statement: [Martin Odersky, name, Martin Odersky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Odersky Context triple: [Martin Odersky, name, Martin Odersky]
-
A.
Martin Odersky
chosen
Martin Odersky is a Swiss computer scientist best known as the creator of the Scala programming language and a prominent researcher in programming language design.
-
B.
Xavier Leroy
Xavier Leroy is a French computer scientist best known for his work on the OCaml programming language and the formally verified CompCert C compiler.
-
C.
Robert Griesemer
Robert Griesemer is a Swiss software engineer best known as one of the principal designers of the Go programming language at Google.
-
D.
Don Syme
Don Syme is a British computer scientist and software engineer best known as the creator of the F# programming language and his work on functional programming at Microsoft Research.
-
E.
Philip Wadler
Philip Wadler is a prominent computer scientist known for his foundational contributions to functional programming languages, type systems, and the theory and design of languages such as Haskell.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.