Triple
T8150215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Broad |
E190313
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Edythe Broad |
E488353
|
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: Edythe Broad | Statement: [The Broad, founder, Edythe Broad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edythe Broad Context triple: [The Broad, founder, Edythe Broad]
-
A.
Edythe Broad
chosen
Edythe Broad is an American philanthropist and art collector known for co-founding major cultural and educational institutions, particularly in contemporary art.
-
B.
Dorothy Yost
Dorothy Yost was an American screenwriter active during Hollywood’s early sound era, known for contributing to numerous studio films across genres.
-
C.
Marjorie Gross
Marjorie Gross was the fourth wife of Canadian-American businessman and former Washington Redskins owner Jack Kent Cooke.
-
D.
Patricia Strawn
Patricia Strawn is known as the wife of American film producer Samuel Goldwyn Jr., a prominent figure in the Hollywood film industry.
-
E.
Judy Nye
Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4481f19c8190aeec9bf029ad321b |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05422b25c819098189ac202c20123 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 30, 2026, 5:37 p.m.