Triple
T20001380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Ferroll |
E494336
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Paul Ferroll |
—
|
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: Paul Ferroll | Statement: [Paul Ferroll, mainCharacter, Paul Ferroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Ferroll Context triple: [Paul Ferroll, mainCharacter, Paul Ferroll]
-
A.
Paul Ferroll
chosen
Paul Ferroll is a mid-19th-century psychological crime novel by Caroline Clive, notable for its early and unconventional portrayal of a seemingly respectable man who has committed murder.
-
B.
John Ferrar
John Ferrar was a member of the prominent Ferrar family associated with the 17th-century Anglican religious community at Little Gidding and the brother and close collaborator of Nicholas Ferrar.
-
C.
Edward McGowan
Edward McGowan is the founder of St. George's University, a private international university best known for its medical school.
-
D.
Paul Gilpin
Paul Gilpin is a cinematographer best known for his work on the adventure film "Tarzan and the Lost City."
-
E.
Paul Duguid
Paul Duguid is a scholar of information studies and co-author of the influential book "The Social Life of Information" with John Seely Brown.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a222908190b88e1d11cb1b7ee3 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.