Triple
T10993942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loudcloud |
E259815
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | In Sik Rhee |
E263891
|
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: In Sik Rhee | Statement: [Loudcloud, foundedBy, In Sik Rhee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Sik Rhee Context triple: [Loudcloud, foundedBy, In Sik Rhee]
-
A.
In Sik Rhee
chosen
In Sik Rhee is a technology entrepreneur and venture capitalist best known as a co-founder of the cloud services company Loudcloud (later Opsware).
-
B.
Ri Sol Ju
Ri Sol Ju is the wife of North Korean leader Kim Jong Un and serves as the country's de facto first lady, occasionally appearing at official state events.
-
C.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
D.
Kim Kyong Hui
Kim Kyong Hui is a North Korean politician and general, the daughter of founding leader Kim Il Sung and influential aunt of current leader Kim Jong Un.
-
E.
Wei Ling Soo
Wei Ling Soo is the stage persona of a skeptical English magician in Woody Allen's film "Magic in the Moonlight," under which he performs as a famed Chinese illusionist.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d460d88190bff918d6dfdb0f93 |
completed | April 9, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9644ff08190a3005e4f6a8243fe |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:24 p.m.