Triple
T6893536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Fenner |
E159110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fenner |
E106858
|
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: Fenner | Statement: [Frank Fenner, familyName, Fenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fenner Context triple: [Frank Fenner, familyName, Fenner]
-
A.
Fenner
chosen
Fenner is an Australian federal electoral division in the Australian Capital Territory, represented in the House of Representatives.
-
B.
Fawkner
Fawkner is a suburb in Melbourne, Victoria, Australia, known for its residential character and the large Fawkner Memorial Park cemetery.
-
C.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
-
D.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
E.
Fowlis
Fowlis is a small rural village in the Angus council area of eastern Scotland, known for its traditional Scottish countryside setting.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d931da24819096b9b205f2c0ebb0 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748db2bd48190bb26f60c58ec8229 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:24 p.m.