Triple
T6078982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Boeheim |
E135473
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object | Sherman Douglas |
E353285
|
NE 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: Sherman Douglas | Statement: [Jim Boeheim, coached, Sherman Douglas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherman Douglas Context triple: [Jim Boeheim, coached, Sherman Douglas]
-
A.
Sherman Douglas
chosen
Sherman Douglas is a former American point guard best known for his standout college career at Syracuse University and subsequent decade-long tenure in the NBA.
-
B.
Melvin Gregg
Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
-
C.
Rufus Scott
Rufus Scott is a talented but troubled Black jazz musician whose emotional turmoil and alienation drive much of the tragedy in James Baldwin’s novel "Another Country."
-
D.
Sherman Todd
Sherman Todd was a film editor known for his work on classic Hollywood movies, including the noir drama "They Live by Night."
-
E.
Dwight Merriman
Dwight Merriman is an American entrepreneur and technologist best known as a co-founder of DoubleClick and later MongoDB.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62cfca10c8190b9e0691ba90fff02 |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 22, 2026, 4:11 p.m.