Triple
T13114738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Farnaby |
E311063
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Simon Farnaby |
E311063
|
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: Simon Farnaby | Statement: [Simon Farnaby, name, Simon Farnaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Farnaby Context triple: [Simon Farnaby, name, Simon Farnaby]
-
A.
Simon Farnaby
chosen
Simon Farnaby is a British actor, comedian, and screenwriter known for his work on projects like Paddington 2, Ghosts, and Horrible Histories.
-
B.
Will Farnaby
Will Farnaby is the cynical journalist and publicist who serves as the central viewpoint character in Aldous Huxley’s utopian novel "Island."
-
C.
Mr. Furnival
Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
-
D.
William Cornysh
William Cornysh was an English Renaissance composer and dramatist known for his influential sacred and secular music at the Tudor court.
-
E.
Barnaby Evans
Barnaby Evans is an American artist best known for creating large-scale public art installations that transform urban spaces through fire, water, and light.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.