Triple
T18252817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Green |
E437140
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Dorothy Macha |
—
|
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: Dorothy Macha | Statement: [Jake Green, conflictWith, Dorothy Macha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Macha Context triple: [Jake Green, conflictWith, Dorothy Macha]
-
A.
Dorothy Macha
chosen
Dorothy Macha is a ruthless and flamboyant crime boss portrayed by Ray Liotta in the psychological crime thriller film "Revolver" (2005).
-
B.
Edna Madzongwe
Edna Madzongwe is a Zimbabwean politician who became the first female President of the Senate, playing a prominent role in the country’s legislative leadership.
-
C.
Evelyn Ntoko Mase
Evelyn Ntoko Mase was a South African nurse and the first wife of Nelson Mandela, with whom she had four children before their marriage ended in divorce.
-
D.
Yvonne Zima
Yvonne Zima is an American actress known for her work as a child performer in films and television, including notable roles in 1990s thrillers and popular TV dramas.
-
E.
Lusiana Burchard
Lusiana Burchard is best known as the wife of renowned mathematician Sir Michael Atiyah.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd81ea3481909d96b5399f7a32b3 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.