Triple
T13493465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Catt |
E320696
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Catt |
E320696
|
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: George Catt | Statement: [George Catt, name, George Catt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Catt Context triple: [George Catt, name, George Catt]
-
A.
George Catt
chosen
George Catt was the husband of prominent American suffragist and women's rights leader Carrie Chapman Catt.
-
B.
Charles Gough
Charles Gough was an 18th-century British mariner whose reported sighting led to the later identification and naming of Gough Island in the South Atlantic.
-
C.
George Haight
George Haight was a film producer active in early 20th-century American cinema, known for his work on projects such as "The Story of Vernon and Irene Castle."
-
D.
Charles Tansley
Charles Tansley is a socially awkward, ambitious young scholar in Virginia Woolf’s novel "To the Lighthouse," often remembered for his insecurity and misogynistic attitudes.
-
E.
George Brink
George Brink was a prominent South African military officer who played a key leadership role in the South African Army during the Second World War.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4c66008190b287e0551889d7c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f5323c8190aa239bad461b0857 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 9, 2026, 9:43 p.m.