Triple
T23852474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Cunningham |
E592207
|
entity |
| Predicate | givesTalkOn |
P48429
|
FINISHED |
| Object | financial literacy for entrepreneurs |
—
|
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: financial literacy for entrepreneurs | Statement: [Keith Cunningham, givesTalkOn, financial literacy for entrepreneurs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesTalkOn Context triple: [Keith Cunningham, givesTalkOn, financial literacy for entrepreneurs]
-
A.
givesSpeechOn
chosen
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
B.
givesSpeechIn
Indicates that an entity delivers or presents a speech within a particular location, event, or context.
-
C.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.