Triple
T6386834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parviz Moin |
E143721
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object | John Kim |
E27960
|
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: John Kim | Statement: [Parviz Moin, hasAcademicAdvisor, John Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kim Context triple: [Parviz Moin, hasAcademicAdvisor, John Kim]
-
A.
John Kim
chosen
John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
-
B.
John Kim
John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
-
C.
Kim Young
Kim Young is a personal name shared by multiple notable individuals, including figures in fields such as politics, sports, and the arts.
-
D.
Kitack Lim
Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
-
E.
Moon Jae-in
Moon Jae-in is a South Korean politician and former human rights lawyer who served as the President of South Korea from 2017 to 2022.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06869dfb88190aeb84c6c61414888 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6387dc8888190ba63efcc9aff41b2 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:34 p.m.