Triple
T23415506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muggsy Spanier |
E560194
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Muggsy Spanier |
—
|
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: Muggsy Spanier | Statement: [Muggsy Spanier, name, Muggsy Spanier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muggsy Spanier Context triple: [Muggsy Spanier, name, Muggsy Spanier]
-
A.
Muggsy Spanier
chosen
Muggsy Spanier was an American jazz cornetist and bandleader known for his influential role in Chicago-style Dixieland jazz.
-
B.
Milt Buckner
Milt Buckner was an American jazz pianist and organist known for popularizing the Hammond organ in jazz and pioneering the block-chord style of piano playing.
-
C.
Pat Rushin
Pat Rushin is an American writer and screenwriter best known for penning the screenplay that became Terry Gilliam’s science-fiction film "The Zero Theorem."
-
D.
Tom Heinsohn
Tom Heinsohn was a Hall of Fame player and coach for the Boston Celtics who later became a longtime, beloved television commentator for the team.
-
E.
Earl "Dutch" Clark
Earl "Dutch" Clark was a Hall of Fame American football quarterback and coach from the early NFL era, renowned as one of the league’s first great stars.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a515fe048190adefdefaeff76cfd |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.