Triple
T11956773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Younger |
E284572
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Molly Bernard |
E957828
|
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: Molly Bernard | Statement: [Younger, castMember, Molly Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Bernard Context triple: [Younger, castMember, Molly Bernard]
-
A.
Molly Bernard
chosen
Molly Bernard is an American actress best known for her role as Lauren Heller on the television series "Younger."
-
B.
Molly Messick
Molly Messick is an American audio producer and journalist known for her work in public radio and podcasting.
-
C.
Molly Phillips
Molly Phillips is a fictional character best known as the widowed musician mother and paranormal investigator in the Disney Channel series "So Weird."
-
D.
Melissa Bernstein
Melissa Bernstein is an American television and film producer best known for her work on acclaimed series such as Breaking Bad and Better Call Saul, as well as their related projects.
-
E.
Molly O'Neil
Molly O'Neil is the daughter of American actress and comedian Teri Garr.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a83c2448190bb40c199afef2ec2 |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:45 p.m.