Triple
T9182819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Spooner |
E220375
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Barbara Spooner |
E220375
|
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: Barbara Spooner | Statement: [Barbara Spooner, name, Barbara Spooner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Spooner Context triple: [Barbara Spooner, name, Barbara Spooner]
-
A.
Barbara Spooner
chosen
Barbara Spooner was an English philanthropist and devout evangelical Christian best known as the wife and close supporter of abolitionist William Wilberforce.
-
B.
Barbara Cushing
Barbara Cushing was an American socialite and one of the famous Cushing sisters, noted for her prominent marriages and influence in mid-20th-century high society.
-
C.
Barbara Crow
Barbara Crow is a Canadian sociologist and academic leader known for her work in feminist theory, digital media, and higher-education administration.
-
D.
Barbara Pickard
Barbara Pickard was the wife of renowned English film composer John Barry.
-
E.
Barbara Hooper
Barbara Hooper is the wife of American actor Robert Patrick, known for maintaining a relatively private life outside of her husband's Hollywood career.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc2553e548190898434aeda517407 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
Created at: March 30, 2026, 7:23 p.m.