Triple
T19850090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie McCoy |
E476969
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charlie McCoy |
—
|
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: Charlie McCoy | Statement: [Charlie McCoy, name, Charlie McCoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie McCoy Context triple: [Charlie McCoy, name, Charlie McCoy]
-
A.
Charlie McCoy
chosen
Charlie McCoy is an American multi-instrumentalist and renowned session musician best known for his harmonica work on numerous country, rock, and folk recordings.
-
B.
Wayne Rogers
Wayne Rogers was an American actor best known for playing Captain "Trapper John" McIntyre on the television series M*A*S*H.
-
C.
Charlie Frye
Charlie Frye is a former American football quarterback who played in the NFL, most notably for the Cleveland Browns.
-
D.
Trig Taylor
Trig Taylor is a central character in the television drama series "The Chi," known for his involvement in the South Side Chicago community and his complex personal relationships.
-
E.
Monty James
Monty James is the hardworking, protective mechanic and single father protagonist in Tyler Perry’s film "Daddy’s Little Girls."
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65867b5408190bbd12ca567c4705f |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.