Triple
T5067657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Sang-woo |
E114182
|
entity |
| Predicate | debt |
P61067
|
FINISHED |
| Object | massive personal debt |
—
|
LITERAL 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: massive personal debt | Statement: [Cho Sang-woo, debt, massive personal debt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debt Context triple: [Cho Sang-woo, debt, massive personal debt]
-
A.
bankruptcy
Indicates a legal and financial state in which an entity is unable to meet its debt obligations and enters a formal process to resolve or discharge those debts.
-
B.
managedFederalDebt
Indicates that an entity is responsible for overseeing, controlling, or administering the federal government’s debt obligations.
-
C.
debtorNationality
Indicates that the specified nationality is the country of citizenship or legal national affiliation of the debtor in the relationship.
-
D.
borrower
Indicates a relationship where one entity temporarily receives and uses something belonging to another entity, typically with the obligation to return it.
-
E.
pays
Indicates that one entity gives money or another form of compensation to another entity, typically in exchange for goods, services, or to settle a debt.
- F. None of above. chosen
Provenance (4 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.