Triple
T24662044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chondoism |
E610563
|
entity |
| Predicate | founderNameRomanization |
P51597
|
FINISHED |
| Object | Choe Je-u |
—
|
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: Choe Je-u | Statement: [Chondoism, founderNameRomanization, Choe Je-u]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderNameRomanization Context triple: [Chondoism, founderNameRomanization, Choe Je-u]
-
A.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
-
B.
founderNameVariant
chosen
Indicates that the object is an alternative or variant form of the name of the entity’s founder.
-
C.
hasFounderName
Indicates that an entity has a founder whose personal name is given by the associated value.
-
D.
founderBirthName
Indicates the original personal name given at birth to the individual who founded an organization or entity.
-
E.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 2:34 a.m.