Triple
T19440009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Ferrier |
E486324
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ferrier |
—
|
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: Ferrier | Statement: [Rachel Ferrier, familyName, Ferrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrier Context triple: [Rachel Ferrier, familyName, Ferrier]
-
A.
Ferrier
Ferrier is a small commune located in northern Haiti, near the border with the Dominican Republic.
-
B.
Ferrier
chosen
Ferrier is a surname of French origin borne by various notable individuals across fields such as science, politics, and the arts.
-
C.
James Farrer
James Farrer was a 19th-century British antiquarian and politician known for his early archaeological excavations in Orkney, Scotland.
-
D.
Will Farnaby
Will Farnaby is the cynical journalist and publicist who serves as the central viewpoint character in Aldous Huxley’s utopian novel "Island."
-
E.
Farrer
Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63364371081908e899c2a47af4e5d |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.