Triple
T7926124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erase Me |
E184065
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Mr. Rager |
E126078
|
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: Mr. Rager | Statement: [Erase Me, followedBy, Mr. Rager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Rager Context triple: [Erase Me, followedBy, Mr. Rager]
-
A.
Mr. Rager
chosen
Mr. Rager is an alter ego and recurring persona of rapper Kid Cudi that embodies his darker, more introspective and troubled side.
-
B.
Mr. McFeely
Mr. McFeely is the speedy, friendly delivery man on the children's television show "Mister Rogers' Neighborhood," known for his catchphrase "Speedy Delivery!"
-
C.
Mack Gerhardt
Mack Gerhardt is a central character in the television series "The Unit," known as a tough and highly skilled member of an elite U.S. Army special operations team.
-
D.
Orator Shafer
Orator Shafer was a 19th-century American professional baseball outfielder known for his strong throwing arm and standout defensive play.
-
E.
Bill Gunter
Bill Gunter is an American Democratic politician from Florida who served in statewide office, including as the state’s insurance commissioner and treasurer, during the 1970s and 1980s.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aae51388190aaedbccd8a16f0ca |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf89a0c81908e1cb988c0bc1d62 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.