Triple
T21315050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Wolheim |
E525444
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Racket |
—
|
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: The Racket | Statement: [Louis Wolheim, notableWork, The Racket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Racket Context triple: [Louis Wolheim, notableWork, The Racket]
-
A.
The Racket
chosen
The Racket is a 1927 Broadway crime play by Bartlett Cormack that exposed police corruption and was later adapted into a notable film noir.
-
B.
The Racketeer
The Racketeer is a legal thriller novel by John Grisham that follows a wrongfully imprisoned lawyer who leverages inside knowledge of a federal judge’s murder to bargain for his freedom and revenge.
-
C.
Racket Boys
Racket Boys is a South Korean television drama series centered on a middle school badminton team in a rural town, blending sports, coming-of-age stories, and heartwarming comedy.
-
D.
The Rag
The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
-
E.
New York Racket
New York Racket was the original name of the American department store chain that later became known as Belk.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dce6b4081909841ac0440fca5e4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:28 p.m.