Triple
T17698084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Ferrier |
E441223
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ferrier
Ferrier is a surname of French origin borne by various notable individuals across fields such as science, politics, and the arts.
|
E1282616
|
NE FINISHED |
How this triple was built (4 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: [Ray Ferrier, familyName, Ferrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrier Context triple: [Ray Ferrier, familyName, Ferrier]
-
A.
Ferrier
Ferrier is a small commune located in northern Haiti, near the border with the Dominican Republic.
-
B.
James Farrer
James Farrer was a 19th-century British antiquarian and politician known for his early archaeological excavations in Orkney, Scotland.
-
C.
Will Farnaby
Will Farnaby is the cynical journalist and publicist who serves as the central viewpoint character in Aldous Huxley’s utopian novel "Island."
-
D.
Farrer
Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
-
E.
Craufurd
Craufurd is an alternative spelling of the surname Crawford, historically borne by several notable Scottish families and individuals.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ferrier Triple: [Ray Ferrier, familyName, Ferrier]
Generated description
Ferrier is a surname of French origin borne by various notable individuals across fields such as science, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferrier Target entity description: Ferrier is a surname of French origin borne by various notable individuals across fields such as science, politics, and the arts.
-
A.
Ferrier
Ferrier is a small commune located in northern Haiti, near the border with the Dominican Republic.
-
B.
James Farrer
James Farrer was a 19th-century British antiquarian and politician known for his early archaeological excavations in Orkney, Scotland.
-
C.
Will Farnaby
Will Farnaby is the cynical journalist and publicist who serves as the central viewpoint character in Aldous Huxley’s utopian novel "Island."
-
D.
Farrer
Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
-
E.
Craufurd
Craufurd is an alternative spelling of the surname Crawford, historically borne by several notable Scottish families and individuals.
- F. None of above. chosen
Provenance (5 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0223365be08190992b1e80553aebcc |
completed | May 11, 2026, 6:43 p.m. |
| NEDg | Description generation | batch_6a0224af2c7c819095b771014f36d0e4 |
completed | May 11, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02259ef96881909660d18a4a149f8f |
completed | May 11, 2026, 6:53 p.m. |
Created at: April 10, 2026, 10:04 a.m.