Triple
T13125440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Roberts |
E311832
|
entity |
| Predicate | grandparent |
P2400
|
FINISHED |
| Object | Betty Lou Bredemus |
E680546
|
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: Betty Lou Bredemus | Statement: [Emma Roberts, grandparent, Betty Lou Bredemus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Lou Bredemus Context triple: [Emma Roberts, grandparent, Betty Lou Bredemus]
-
A.
Betty Lou Bredemus
chosen
Betty Lou Bredemus was an American acting coach and theater professional best known as the mother of actress Julia Roberts.
-
B.
Betty Lou Keim
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
-
C.
Betty Dodson
Betty Dodson was an American sex educator, artist, and author known for pioneering feminist sex-positive movements and promoting female masturbation and sexual empowerment.
-
D.
Betty Reinhardt
Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
-
E.
Betty Irene Whitaker
Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac754aec8190a5b975c9965eef61 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:07 p.m.