Triple
T16537805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leede Arena |
E401737
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Edward Leede |
—
|
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: Edward Leede | Statement: [Leede Arena, namedAfter, Edward Leede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Leede Context triple: [Leede Arena, namedAfter, Edward Leede]
-
A.
Edward Leede
chosen
Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
-
B.
John Willsteed
John Willsteed is an Australian musician best known as a guitarist and multi-instrumentalist for the indie rock band The Go-Betweens.
-
C.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
-
D.
John Shive
John Shive was an American mountaineer known for participating in the first recorded ascent of Grand Teton in Wyoming’s Teton Range.
-
E.
William Haade
William Haade was an American character actor known for his tough-guy roles in numerous Hollywood films from the 1930s through the 1950s.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34559ca948190a9eb810b9b3be079 |
completed | April 18, 2026, 8:48 a.m. |
Created at: April 10, 2026, 5:15 a.m.