Triple
T22103462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pirate Queen |
E546225
|
entity |
| Predicate | soundDesigner |
P32563
|
FINISHED |
| Object | Jonathan Deans |
—
|
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: Jonathan Deans | Statement: [The Pirate Queen, soundDesigner, Jonathan Deans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Deans Context triple: [The Pirate Queen, soundDesigner, Jonathan Deans]
-
A.
Jonathan Deans
chosen
Jonathan Deans is a prominent theatrical sound designer known for his work on major Broadway and West End productions.
-
B.
Jonathan Leathers
Jonathan Leathers is an American former professional soccer defender who played in Major League Soccer after a standout collegiate career at Furman University.
-
C.
Max Deacon
Max Deacon is a British actor best known for his leading role in the disaster film "Into the Storm" (2014) and appearances in various film and television projects.
-
D.
Eric Deacon
Eric Deacon is a British actor known for his work in film and television, including roles in distinctive art-house productions.
-
E.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
- 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_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.