Triple
T21041863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Bowles |
E518345
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Jean Ross |
—
|
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: Jean Ross | Statement: [Sally Bowles, basedOn, Jean Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Ross Context triple: [Sally Bowles, basedOn, Jean Ross]
-
A.
Jean Ross
chosen
Jean Ross was a British journalist, political activist, and writer best known as the real-life inspiration for the character Sally Bowles in Christopher Isherwood’s Berlin Stories.
-
B.
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.
-
C.
Amy Redford
Amy Redford is an American actress, director, and producer known for her work in independent film and as the daughter of filmmaker Robert Redford.
-
D.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
-
E.
Ann Kirkpatrick
Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf0b27881909d1c5b58be387a74 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.