Triple
T23477546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear John |
E570306
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Ralph Drang |
—
|
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: Ralph Drang | Statement: [Dear John, character, Ralph Drang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Drang Context triple: [Dear John, character, Ralph Drang]
-
A.
Ralph Drang
chosen
Ralph Drang is an individual known primarily through his association as a friend of John Lacey.
-
B.
Ralph Hart
Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
-
C.
Ralph Jordan
Ralph Jordan was a longtime Auburn University football coach and athletic figure whose legacy is commemorated in the naming of Jordan–Hare Stadium.
-
D.
Ralph Dunn
Ralph Dunn was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
-
E.
Ralph Theodore
Ralph Theodore was an American actor known for his supporting roles in mid-20th-century films and stage productions.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:01 p.m.