Triple
T21349009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaetano Gaudio |
E526422
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Great O'Malley |
—
|
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 Great O'Malley | Statement: [Gaetano Gaudio, notableWork, The Great O'Malley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Great O'Malley Context triple: [Gaetano Gaudio, notableWork, The Great O'Malley]
-
A.
The Great O'Malley
chosen
"The Great O'Malley" is a 1937 American drama film featuring Frank Albertson in a supporting role alongside Pat O'Brien and Sybil Jason.
-
B.
The Horseshoe
The Horseshoe is the iconic, horseshoe-shaped football stadium at The Ohio State University, officially known as Ohio Stadium.
-
C.
Manglehorn
Manglehorn is a 2014 character-driven drama film directed by David Gordon Green and starring Al Pacino as a reclusive locksmith haunted by his past.
-
D.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
E.
The Great Eight
The Great Eight is the famous nickname of Russian ice hockey superstar Alex Ovechkin, one of the most prolific goal scorers in NHL history.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baab4e081908916a289c607cf3a |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:02 p.m.