Triple
T344418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easyJet |
E6907
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Stelios Haji-Ioannou |
E44551
|
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: Stelios Haji-Ioannou | Statement: [easyJet, founder, Stelios Haji-Ioannou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stelios Haji-Ioannou Context triple: [easyJet, founder, Stelios Haji-Ioannou]
-
A.
Stelios Haji-Ioannou
chosen
Stelios Haji-Ioannou is a Cypriot-British entrepreneur best known as the founder of the low-cost airline easyJet and the broader "easy" family of brands.
-
B.
Angelo Tsakopoulos
Angelo Tsakopoulos is a prominent Greek-American real estate developer and political donor based in California.
-
C.
Petros Koumoutsakos
Petros Koumoutsakos is a prominent computational scientist and engineer known for his pioneering work in fluid dynamics and multiscale simulation methods.
-
D.
Markos Vafiadis
Markos Vafiadis was a prominent Greek communist military leader who commanded the Democratic Army of Greece during the Greek Civil War.
-
E.
Evángelos Odysséas Papathanassíou
Evángelos Odysséas Papathanassíou, better known as Vangelis, was a Greek composer famed for his pioneering electronic music and iconic film scores such as those for "Chariots of Fire" and "Blade Runner."
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e014e2748190b4c45b16186a0d66 |
completed | March 1, 2026, 6:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.