Triple
T22919124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caleb Davis Bradham |
E568806
|
entity |
| Predicate | causeOfBusinessFailure |
P26452
|
FINISHED |
| Object | sugar price volatility after World War I |
—
|
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: sugar price volatility after World War I | Statement: [Caleb Davis Bradham, causeOfBusinessFailure, sugar price volatility after World War I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfBusinessFailure Context triple: [Caleb Davis Bradham, causeOfBusinessFailure, sugar price volatility after World War I]
-
A.
failureCause
Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
-
B.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
C.
causeOfDownfall
chosen
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
D.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
E.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.