Triple
T6091788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother and Child |
E135781
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Amy Brenneman |
E403768
|
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: Amy Brenneman | Statement: [Mother and Child, stars, Amy Brenneman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Brenneman Context triple: [Mother and Child, stars, Amy Brenneman]
-
A.
Amy Brenneman
chosen
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
B.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
C.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
D.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
-
E.
Nancy Huff
Nancy Huff is a fictional character from the comedy film "Step Brothers," known as the mother of Brennan Huff.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518d771408190bcff32f692c2b9fd |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:12 p.m.