Triple
T5532485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reservoir Dogs |
E145080
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mr. Pink |
E375846
|
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. Pink | Statement: [Reservoir Dogs, character, Mr. Pink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Pink Context triple: [Reservoir Dogs, character, Mr. Pink]
-
A.
Mr. Pink
chosen
Mr. Pink is the fast-talking, paranoid professional thief played by Steve Buscemi in Quentin Tarantino’s crime film "Reservoir Dogs."
-
B.
Mickey Goldmill
Mickey Goldmill is the gruff, old-school boxing trainer and mentor of Rocky Balboa in the "Rocky" film series.
-
C.
Jules Winnfield
Jules Winnfield is a philosophical, sharp-tongued hitman from Quentin Tarantino’s film "Pulp Fiction," known for his memorable monologues and moral transformation.
-
D.
Willis Newton
Willis Newton was the real-life leader of the Newton Gang, a notorious early 20th-century American outlaw group known for bank and train robberies.
-
E.
Buford "Mad Dog" Tannen
Buford "Mad Dog" Tannen is the ruthless, hot-tempered outlaw and ancestor of Biff Tannen who serves as the main antagonist in the Old West setting of Back to the Future Part III.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9ea2c88190a68642f5799bd8ff |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028094fa48190a1f48779a7963af9 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:34 p.m.