Triple
T11491343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Moriarty |
E272420
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wiseguy |
E869370
|
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: Wiseguy | Statement: [Cathy Moriarty, notableWork, Wiseguy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiseguy Context triple: [Cathy Moriarty, notableWork, Wiseguy]
-
A.
Wiseguy
Wiseguy is a true-crime book by Nicholas Pileggi that chronicles the life of mob associate Henry Hill and the inner workings of the American Mafia.
-
B.
Wiseguy
chosen
Wiseguy is an American crime drama television series centered on an undercover agent infiltrating organized crime syndicates.
-
C.
Gotti
Gotti is a 1996 television crime drama film in which Armand Assante portrays notorious mob boss John Gotti.
-
D.
Gotti
"Gotti" is a 2018 single by American rapper Tekashi 6ix9ine, known for its melodic style and inclusion on the expanded version of his debut mixtape, *Day69*.
-
E.
Hoodlum
Hoodlum is a 1997 American crime drama film about the Harlem underworld during the 1930s, focusing on the conflict between Black gangsters and the Italian mob.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6046ec5108190a0294cc86e1b60cc |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.