Triple
T5028342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Kanellakis Theory and Practice Award |
E113231
|
entity |
| Predicate | honors |
P2354
|
FINISHED |
| Object | Paris C. Kanellakis |
E487741
|
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: Paris C. Kanellakis | Statement: [Paris Kanellakis Theory and Practice Award, honors, Paris C. Kanellakis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris C. Kanellakis Context triple: [Paris Kanellakis Theory and Practice Award, honors, Paris C. Kanellakis]
-
A.
Paris C. Kanellakis
chosen
Paris C. Kanellakis was a prominent Greek-American computer scientist known for his influential contributions to theoretical computer science and database theory.
-
B.
Barbara Liskov
Barbara Liskov is an American computer scientist renowned for her pioneering work in programming languages, data abstraction, and distributed systems, and is one of the first women to receive the Turing Award.
-
C.
Joseph Sifakis
Joseph Sifakis is a Greek-French computer scientist renowned for his pioneering work in formal verification and model checking, for which he received the Turing Award.
-
D.
Lenore Blum
Lenore Blum is an American mathematician and computer scientist known for her work in complexity theory, real computation, and advocacy for women in STEM.
-
E.
Barbara Grosz
Barbara Grosz is a pioneering computer scientist known for her foundational work in natural language processing, multi-agent systems, and contributions to the field of artificial intelligence research and ethics.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738f2cc88190a03eebf19e407411 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0ecf0d88190b459d9c29bfc005d |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:36 p.m.