Triple
T22760595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Robe |
E562975
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sue Milliken |
—
|
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: Sue Milliken | Statement: [Black Robe, producer, Sue Milliken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Milliken Context triple: [Black Robe, producer, Sue Milliken]
-
A.
Sue Milliken
chosen
Sue Milliken is an Australian film producer known for her work on notable features including the war drama "Paradise Road."
-
B.
Diane Millstead
Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
-
C.
Diane Millstead
Diane Millstead is the mother of Australian art dealer and journalist Oscar Humphries.
-
D.
Sue Gunter
Sue Gunter was a Hall of Fame American women’s basketball coach best known for her long, successful tenure leading major collegiate programs and elevating the profile of the women’s game.
-
E.
Sue Bierman
Sue Bierman was a San Francisco civic leader and activist known for her work in urban planning, transportation reform, and neighborhood preservation.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7c45b881908b29ba1439038789 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.