Triple
T21928325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Alright |
E541498
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Mickey Curry |
—
|
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: Mickey Curry | Statement: [I'm Alright, hasContributor, Mickey Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickey Curry Context triple: [I'm Alright, hasContributor, Mickey Curry]
-
A.
Mickey Curry
chosen
Mickey Curry is an American rock drummer best known for his long-time work with Bryan Adams and as a sought-after session and touring musician.
-
B.
Dell Curry
Dell Curry is a former American professional basketball player best known as a sharpshooting guard for the Charlotte Hornets and the father of NBA stars Stephen and Seth Curry.
-
C.
Bill Curry
Bill Curry is a former American football player and coach known for his collegiate coaching stints at Georgia Tech, Alabama, and Kentucky, as well as his work as a sports broadcaster.
-
D.
Charlie Oakley
Charlie Oakley is an individual known primarily through their familial connection to Emma Newton.
-
E.
Forest Baskett
Forest Baskett is an American computer scientist and venture capitalist known for his influential work in computer architecture and his role as a general partner at New Enterprise Associates (NEA).
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.