Triple
T8157452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dexter |
E190486
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Dexter |
E190486
|
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: John Dexter | Statement: [John Dexter, name, John Dexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Dexter Context triple: [John Dexter, name, John Dexter]
-
A.
John Dexter
chosen
John Dexter was a British theatre and opera director and occasional screenwriter known for his influential work on stage and in film during the mid-20th century.
-
B.
Jeff Buchanan
Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
-
C.
Joseph Cottle
Joseph Cottle was an English publisher and bookseller in Bristol best known for supporting and publishing early works by Romantic poets such as William Wordsworth and Samuel Taylor Coleridge.
-
D.
Ron Darling
Ron Darling is a former Major League Baseball pitcher, best known for his years with the New York Mets and later work as a television baseball analyst.
-
E.
John Flicker
John Flicker is a conservation leader best known for serving as president of the National Audubon Society, where he advanced major initiatives in bird and habitat protection.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44da14a481909f8d3277762b0e75 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf18c30c8190bdd98c4f0c2d28ea |
completed | April 1, 2026, 6:45 a.m. |
Created at: March 30, 2026, 5:37 p.m.