Triple
T18592949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madge Bishop |
E454414
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Madge Bishop |
—
|
NE NERFINISHED |
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: Madge Bishop | Statement: [Madge Bishop, fullName, Madge Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madge Bishop Context triple: [Madge Bishop, fullName, Madge Bishop]
-
A.
Madge Bishop
chosen
Madge Bishop is a beloved fictional character from the Australian soap opera "Neighbours," known for her strong-willed, caring nature and central role in many of the show's key storylines.
-
B.
Madge Hardwick
Madge Hardwick is a character from the classic 1935 musical film "Top Hat," known for her involvement in the movie’s romantic and comedic misunderstandings.
-
C.
Bernice Steadman
Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
-
D.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
-
E.
Beryl Mercer
Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b7ce3881908302ee27a2cf80d6 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.