Triple
T14214087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Medwin |
E352303
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Medwin |
E352303
|
NE FINISHED |
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: Michael Medwin | Statement: [Michael Medwin, name, Michael Medwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Medwin Context triple: [Michael Medwin, name, Michael Medwin]
-
A.
Michael Medwin
chosen
Michael Medwin was a British actor and film and television producer known for his prolific character roles and for producing notable British films from the 1960s onward.
-
B.
Zacharias Underhill
Zacharias Underhill is an individual notable enough to be recognized as a distinguished bearer of the surname Underhill.
-
C.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
-
D.
Thomas Fell
Thomas Fell was a 17th-century English judge and politician associated with the early Quaker movement through his wife, Margaret Fell.
-
E.
Paul Blackthorne
Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1959f3d481909c15730bbd6f4748 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:06 a.m.