Triple
T22102184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arsenal Stadium Mystery |
E546197
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Leslie Banks |
—
|
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: Leslie Banks | Statement: [The Arsenal Stadium Mystery, castMember, Leslie Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Banks Context triple: [The Arsenal Stadium Mystery, castMember, Leslie Banks]
-
A.
Leslie Banks
chosen
Leslie Banks was a British stage and film actor best known for his distinctive scarred appearance and roles in early 20th-century cinema, including classic thrillers and dramas.
-
B.
Leslie Brown
Leslie Brown was an Anglican clergyman who became the pioneering first Archbishop and Primate of the Church of Uganda.
-
C.
Leslie Marr
Leslie Marr was a British landscape painter and amateur racing driver known for competing in Formula One in the 1950s while pursuing a successful artistic career.
-
D.
Leslie Morgan
Leslie Morgan is a distinguished academic recognized for her professorial role at Gresham College in London.
-
E.
Jody Banks
Jody Banks is a main character on the 1980s television series "The Fall Guy," known as the attractive and daring stuntwoman and assistant to bounty hunter Colt Seavers.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.