Triple
T17607203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadfall |
E428863
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sarah Trigger |
—
|
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: Sarah Trigger | Statement: [Deadfall, starring, Sarah Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Trigger Context triple: [Deadfall, starring, Sarah Trigger]
-
A.
Sarah Trigger
chosen
Sarah Trigger is a British-born actress known for her film and television roles in the 1990s and early 2000s.
-
B.
Katherine Fugate
Katherine Fugate is an American screenwriter and television producer best known for creating the Lifetime drama series "Army Wives."
-
C.
Moira Banning
Moira Banning is a fictional character from the 1991 fantasy film "Hook," where she appears as Peter Banning's wife in Steven Spielberg's reimagining of the Peter Pan story.
-
D.
June Blair
June Blair was an American actress and model best known for her role on the television series "The Adventures of Ozzie and Harriet."
-
E.
Vivian Rutledge
Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.