Triple
T38087962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jang Myeon |
E951024
|
entity |
| Predicate | vicePresidentSucceededBy |
P3000
|
FINISHED |
| Object | Lee Ki-bung |
—
|
NE NERFINISHED |
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: Lee Ki-bung | Statement: [Jang Myeon, vicePresidentSucceededBy, Lee Ki-bung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vicePresidentSucceededBy Context triple: [Jang Myeon, vicePresidentSucceededBy, Lee Ki-bung]
-
A.
precededAsVicePresidentBy
Indicates that one entity served as vice president immediately before another entity in a sequence of officeholders.
-
B.
succeededAsVicePresidentBy
chosen
Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
-
C.
vicePresidentAfterElection
Indicates that one person holds the office of vice president following a specified election or electoral event.
-
D.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
-
E.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
- F. None of above.
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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:21 p.m.