Triple
T11170250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who The Hell's In It |
E264254
|
entity |
| Predicate | about |
P380
|
FINISHED |
| Object | Jimmy Cagney |
E164718
|
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: Jimmy Cagney | Statement: [Who The Hell's In It, about, Jimmy Cagney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Cagney Context triple: [Who The Hell's In It, about, Jimmy Cagney]
-
A.
James Cagney
chosen
James Cagney was an American film actor renowned for his energetic performances in gangster roles and musicals, and is widely regarded as one of Hollywood's greatest stars of the 20th century.
-
B.
William Cagney
William Cagney was an American film producer and occasional actor, best known as the younger brother and frequent collaborator of Hollywood star James Cagney.
-
C.
Harry Davenport
Harry Davenport was an American character actor best known for his numerous supporting roles in classic Hollywood films of the 1930s and 1940s.
-
D.
George Murphy
George Murphy was an American song-and-dance man and film actor of the 1930s and 1940s who later became a U.S. senator from California.
-
E.
Jack Palance
Jack Palance was an American actor known for his intense, rugged screen presence and memorable roles in films such as "Shane" and "City Slickers."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463a2e2fc819086126b681d86e94b |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.