Triple
T2533382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Coulouris |
E56214
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Coulouris |
E56214
|
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: George Coulouris | Statement: [George Coulouris, name, George Coulouris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Coulouris Context triple: [George Coulouris, name, George Coulouris]
-
A.
George Coulouris
chosen
George Coulouris was a British actor best known for his character roles in classic films and stage productions, including his memorable appearance in Orson Welles’s Citizen Kane.
-
B.
Andreas Acrivos
Andreas Acrivos was a prominent Greek-American chemical engineer and fluid dynamicist renowned for his pioneering contributions to transport phenomena and complex fluid flows.
-
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.
Sakis Bessis
Sakis Bessis is a musician best known as a member of the influential 1960s Greek rock band The Forminx.
-
E.
David J. Wetherall
David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bbc416c81908774782420b54664 |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:47 p.m.