Triple
T15185929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Hussey |
E362874
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hussey |
E773770
|
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: Hussey | Statement: [Ruth Hussey, familyName, Hussey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hussey Context triple: [Ruth Hussey, familyName, Hussey]
-
A.
Hussey
chosen
Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
-
B.
Husby
Husby is a residential district in the northwestern part of Stockholm, Sweden, known for its multicultural population and large-scale modern housing.
-
C.
Hassie
Hassie is a given name, often used as a feminine first name in English-speaking countries.
-
D.
Harrie
Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
-
E.
Humfrey
Humfrey is a less common spelling variant of the given name Humphrey, used as a masculine personal name.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.