Triple
T18229985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Truck Full of Money |
E436519
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Paul English |
—
|
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: Paul English | Statement: [A Truck Full of Money, titleCharacter, Paul English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul English Context triple: [A Truck Full of Money, titleCharacter, Paul English]
-
A.
Paul English
chosen
Paul English was an American country music drummer best known for his long-time collaboration with Willie Nelson as a member of his backing band, the Family.
-
B.
Michael English
Michael English is an American contemporary Christian and Southern gospel singer known for his powerful vocals and successful solo career in Christian music.
-
C.
Paul Englishby
Paul Englishby is a British composer known for his film, television, and theatre scores, including work on acclaimed dramas and stage productions.
-
D.
Paul French
Paul French is a pseudonym used by science fiction author Isaac Asimov, notably for his juvenile "Lucky Starr" space adventure series.
-
E.
Paul Cater
Paul Cater is a fictional character appearing in the film "Love Field."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b284a8819088456c2af5fa1de5 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.