Triple
T9699913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca Cardelli |
E234748
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luca Cardelli |
E234748
|
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: Luca Cardelli | Statement: [Luca Cardelli, name, Luca Cardelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Cardelli Context triple: [Luca Cardelli, name, Luca Cardelli]
-
A.
Luca Cardelli
chosen
Luca Cardelli is an Italian computer scientist known for his influential work in type theory, programming language design, and the development of the Modula-3 and Polyphonic C# languages.
-
B.
Gordon Plotkin
Gordon Plotkin is a British computer scientist renowned for his foundational contributions to programming language semantics and domain theory.
-
C.
Andre Scedrov
Andre Scedrov is a mathematician known for his work in category theory, logic, and theoretical computer science.
-
D.
David L. Parnas
David L. Parnas is a pioneering software engineer and computer scientist best known for introducing key concepts in software modularity and information hiding that shaped modern software engineering.
-
E.
Gerard J. Holzmann
Gerard J. Holzmann is a computer scientist best known for creating the SPIN model checker and for his influential work in formal verification and software reliability.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d6eab0c8190abac1b009d625975 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912a551c8190bd6b48790f117f71 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.