Triple
T11298294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juwan Howard |
E267509
|
entity |
| Predicate | playedWith |
P7956
|
FINISHED |
| Object | Ray Jackson |
E722623
|
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: Ray Jackson | Statement: [Juwan Howard, playedWith, Ray Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Jackson Context triple: [Juwan Howard, playedWith, Ray Jackson]
-
A.
Ray Jackson
chosen
Ray Jackson is a former American college basketball player best known as one of the University of Michigan's famed "Fab Five" in the early 1990s.
-
B.
Leo Parker
Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
-
C.
James Clemons
James Clemons is an individual whose specific public notability or distinguishing background is not clearly identifiable from the given information.
-
D.
Timothy Rivers
Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
-
E.
Jon Hensley
Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a3e26e88190991127a5993a32a4 |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.