Triple
T19948645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrina (1995 film) |
E479494
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nancy Marchand |
—
|
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: Nancy Marchand | Statement: [Sabrina (1995 film), starring, Nancy Marchand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Marchand Context triple: [Sabrina (1995 film), starring, Nancy Marchand]
-
A.
Nancy Marchand
chosen
Nancy Marchand was an acclaimed American actress best known for her roles on the television series "Lou Grant" and "The Sopranos."
-
B.
Christiane Legrand
Christiane Legrand was a French jazz and classical singer best known as the original lead soprano of The Swingle Singers and for her extensive work on film soundtracks.
-
C.
Denise Dion
Denise Dion is a person notable for sharing the surname associated with the Dion family name.
-
D.
Nancy Dubuc
Nancy Dubuc is an American media executive and producer best known for leading networks like A&E and Vice Media and overseeing hit nonfiction and scripted programming.
-
E.
Patti D'Arbanville
Patti D'Arbanville is an American actress and former model known for her work in film and television since the 1970s, including notable roles in both independent and mainstream productions.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a69ae388190918e862012f9fe39 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.