Triple
T21447657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. White |
E529119
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Larry Dimmick |
—
|
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: Larry Dimmick | Statement: [Mr. White, alias, Larry Dimmick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Dimmick Context triple: [Mr. White, alias, Larry Dimmick]
-
A.
Larry Dimmick
chosen
Larry Dimmick is the real name of Mr. White, a seasoned professional criminal and central character in Quentin Tarantino's film "Reservoir Dogs."
-
B.
John McCormick
John McCormick was an American film producer best known for his work during the silent film era and his professional and personal partnership with actress Colleen Moore.
-
C.
Bill Rinehart
Bill Rinehart is a musician best known as a member of the 1960s American rock band The Leaves.
-
D.
Bill Rigney
Bill Rigney was an American Major League Baseball manager and former infielder best known for managing teams such as the New York/San Francisco Giants, Los Angeles/California Angels, and Minnesota Twins.
-
E.
Ray Colcord
Ray Colcord was an American record producer and composer best known for his work in rock music and for scoring numerous television shows.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.