Triple
T16386498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes Ruehl |
E397934
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Married to the Mob |
E239549
|
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: Married to the Mob | Statement: [Mercedes Ruehl, performedIn, Married to the Mob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Married to the Mob Context triple: [Mercedes Ruehl, performedIn, Married to the Mob]
-
A.
Married to the Mob
chosen
Married to the Mob is a 1988 American crime comedy film that blends mafia satire with romantic and screwball elements.
-
B.
Queen of the Mob
Queen of the Mob is the underworld nickname of Virginia Hill, a notorious mid-20th-century American mob courier and associate of prominent organized crime figures.
-
C.
The Mob
The Mob is a 1951 American film noir crime drama starring Broderick Crawford as a tough undercover cop infiltrating a corrupt waterfront underworld.
-
D.
Portrait of a Mobster
Portrait of a Mobster is a 1961 crime drama film that chronicles the rise and fall of notorious Prohibition-era gangster Dutch Schultz.
-
E.
The Mob Doctor
The Mob Doctor is an American medical crime drama television series starring Jordana Spiro as a brilliant Chicago surgeon secretly working for the mafia to pay off a family debt.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c58280081908e4d73a75b09dbb8 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.