Triple
T20544352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventure Cycling Association |
E504426
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Lys Burden |
—
|
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: Lys Burden | Statement: [Adventure Cycling Association, hasFounder, Lys Burden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lys Burden Context triple: [Adventure Cycling Association, hasFounder, Lys Burden]
-
A.
Lys Burden
chosen
Lys Burden is the founder of the Adventure Cycling Association, a prominent U.S. nonprofit dedicated to bicycle travel and long-distance cycling routes.
-
B.
Jessica Burton
Jessica Burton is a daughter of the acclaimed Welsh actor Richard Burton.
-
C.
Leslie Burton
Leslie Burton is a character in the romantic comedy film "Little Manhattan," serving as one of the figures in the young protagonist's coming-of-age story.
-
D.
Amy Burley
Amy Burley is a free-spirited, V-addicted drifter who becomes Jason Stackhouse’s intense and ultimately tragic love interest in the TV series "True Blood."
-
E.
Emily Burton
Emily Burton was the wife of English poet and playwright Gordon Bottomley, known primarily in relation to his personal life and correspondence.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.