Triple
T19585675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Park |
E490099
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Todd Park |
—
|
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: Todd Park | Statement: [Todd Park, name, Todd Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Park Context triple: [Todd Park, name, Todd Park]
-
A.
Todd Park
chosen
Todd Park is an American entrepreneur and former U.S. Chief Technology Officer known for co-founding the healthcare technology company Athenahealth and driving innovation in health IT and government technology.
-
B.
Todd Park
Todd Park is a public recreational park located in Austin, Minnesota, offering outdoor spaces and facilities for community activities and leisure.
-
C.
Frank Lanning
Frank Lanning was an American character actor of the silent film era, known for his supporting roles in numerous Westerns and early Hollywood productions.
-
D.
Tom Eagles
Tom Eagles is a film editor best known for his Academy Award-nominated work on the satirical World War II film "Jojo Rabbit."
-
E.
Jeff Raikes
Jeff Raikes is an American business executive and philanthropist best known as a former Microsoft executive and former CEO of the Bill & Melinda Gates Foundation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640513134819082cf233fa3dcc911 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.