Triple
T20383828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship Ahoy |
E497907
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | John Emery |
—
|
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: John Emery | Statement: [Ship Ahoy, hasCastMember, John Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Emery Context triple: [Ship Ahoy, hasCastMember, John Emery]
-
A.
John Emery
chosen
John Emery was an American stage, film, and television actor active in the mid-20th century, often cast in sophisticated or villainous supporting roles.
-
B.
Jonathan Emery
Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
-
C.
William Harrigan
William Harrigan was an American character actor of stage and screen, active in the early to mid-20th century, known for his supporting roles in crime and drama films.
-
D.
Paul Kernaghan
Paul Kernaghan is a British public official and former senior police officer who has served as the House of Lords Commissioner for Standards, overseeing investigations into members’ conduct.
-
E.
Emil Foley
Emil Foley is a tough yet principled Marine Corps drill instructor in the romantic drama film "An Officer and a Gentleman."
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.