Triple
T14730530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventures in Babysitting |
E346058
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Penelope Ann Miller |
E322154
|
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: Penelope Ann Miller | Statement: [Adventures in Babysitting, starring, Penelope Ann Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penelope Ann Miller Context triple: [Adventures in Babysitting, starring, Penelope Ann Miller]
-
A.
Penelope Ann Miller
chosen
Penelope Ann Miller is an American actress known for her roles in films such as "Carlito's Way," "The Artist," and "Kindergarten Cop."
-
B.
Melissa George
Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
-
C.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
D.
Maggie Siff
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
-
E.
Carrie Coon
Carrie Coon is an American actress known for her acclaimed performances in television series like "The Leftovers" and "Fargo" as well as films such as "Gone Girl" and "The Nest."
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e79997c8190bb6f158d50603066 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:29 a.m.