Triple
T21413582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Yank at Eton |
E528239
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John W. Considine Jr. |
—
|
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 W. Considine Jr. | Statement: [A Yank at Eton, producer, John W. Considine Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John W. Considine Jr. Context triple: [A Yank at Eton, producer, John W. Considine Jr.]
-
A.
John W. Considine Jr.
chosen
John W. Considine Jr. was an American film producer active during Hollywood’s early studio era, known for overseeing a range of feature productions.
-
B.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
C.
Michael Cavanagh
Michael Cavanagh is an Australian drummer best known for his work with the psychedelic rock band King Gizzard & the Lizard Wizard.
-
D.
Kevin J. Leahy
Kevin J. Leahy is a scholar and author, best known for his work in archaeology and the study of early medieval metalwork in Britain.
-
E.
James T. Conway
James T. Conway is a retired four-star U.S. Marine Corps general who later served as the 34th Commandant of the Marine Corps.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b201ce1481908392c77e5ca40f5f |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:44 p.m.