Triple
T5465190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald W. Loveland |
E122690
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object | Martin Davis |
E46731
|
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 Davis | Statement: [Donald W. Loveland, hasAcademicAdvisor, Martin Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Davis Context triple: [Donald W. Loveland, hasAcademicAdvisor, Martin Davis]
-
A.
Martin Davis
chosen
Martin Davis was an American mathematician and logician renowned for his foundational work in computability theory and the Entscheidungsproblem, including contributions to the Davis–Putnam algorithm.
-
B.
John Alan Robinson
John Alan Robinson was a pioneering logician and computer scientist best known for introducing the resolution principle, a fundamental method in automated theorem proving and logic programming.
-
C.
Dana Scott
Dana Scott is an American logician and mathematician renowned for his foundational work in domain theory, model theory, and the semantics of programming languages, for which he received the Turing Award.
-
D.
Solomon Feferman
Solomon Feferman was an American logician and philosopher of mathematics known for his influential work on proof theory, predicativity, and the foundations and history of mathematical logic.
-
E.
Daniel G. Bobrow
Daniel G. Bobrow was an influential American computer scientist and early artificial intelligence researcher known for his work on natural language understanding and AI programming systems.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd920590b481909b92091678ff1414 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf488b64d081908163edfff6484f5c |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:08 p.m.