Triple
T12336224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dickens |
E294091
|
entity |
| Predicate | hasFinancialStatus |
P104562
|
FINISHED |
| Object | in 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: in debt | Statement: [John Dickens, hasFinancialStatus, in debt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinancialStatus Context triple: [John Dickens, hasFinancialStatus, in debt]
-
A.
hasPayStatus
Indicates the current payment state or condition associated with an entity, such as whether an amount is paid, unpaid, pending, or otherwise resolved.
-
B.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
C.
bankStatus
Indicates the current operational or financial condition of a bank, such as whether it is active, suspended, solvent, or insolvent.
-
D.
statusOfHolder
Indicates the current condition, role, or standing associated with the entity that holds or possesses something.
-
E.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f6683e881908920e1fee02a14e3 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.