Triple
T22663844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Marston and the Wonder Women |
E559730
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Amy Redford |
—
|
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: Amy Redford | Statement: [Professor Marston and the Wonder Women, producer, Amy Redford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Redford Context triple: [Professor Marston and the Wonder Women, producer, Amy Redford]
-
A.
Amy Redford
chosen
Amy Redford is an American actress, director, and producer known for her work in independent film and as the daughter of filmmaker Robert Redford.
-
B.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
-
C.
Susan Hutchinson
Susan Hutchinson is an American public figure best known as the wife of former Arkansas governor Asa Hutchinson and for her involvement in civic and charitable activities in the state.
-
D.
Elizabeth Claire Kemper
Elizabeth Claire Kemper is an American actress and comedian best known for her roles on the TV series "The Office" and "Unbreakable Kimmy Schmidt."
-
E.
Susan Ivey
Susan Ivey is a fictional character from the 2001 dark comedy film "Novocaine."
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.