Triple
T16444740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gadsby |
E399395
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Gadsby |
E399395
|
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 Gadsby | Statement: [John Gadsby, name, John Gadsby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gadsby Context triple: [John Gadsby, name, John Gadsby]
-
A.
John Gadsby
chosen
John Gadsby was an early 19th-century Alexandria, Virginia tavern keeper and entrepreneur whose prominent establishment became a notable social and political gathering place.
-
B.
Medwin
Medwin is the surname of British actor and film producer Michael Medwin, known for his extensive work in mid-20th-century cinema and television.
-
C.
William Dick
William Dick was a pioneering 19th-century Scottish veterinarian and educator who established one of the world’s earliest veterinary schools in Edinburgh.
-
D.
Henry Harvey
Henry Harvey was a British Royal Navy officer and admiral who served prominently during the late 18th century, particularly in Caribbean campaigns against French and Spanish forces.
-
E.
Henry Harvey
Henry Harvey is a fictional character portrayed by actor Dana Andrews, likely in a mid-20th-century film or television production.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdb5d908190bb6c5cb3c794cf4b |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060746c308190b67ff7c4646e10de |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.