Triple
T23120926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Better Off Dead |
E576889
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Amanda Wyss |
—
|
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: Amanda Wyss | Statement: [Better Off Dead, starring, Amanda Wyss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Wyss Context triple: [Better Off Dead, starring, Amanda Wyss]
-
A.
Amanda Wyss
chosen
Amanda Wyss is an American film and television actress best known for her roles in the horror classic "A Nightmare on Elm Street" and the teen comedy "Fast Times at Ridgemont High."
-
B.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
C.
Amanda Posey
Amanda Posey is a British film producer known for her work on acclaimed literary adaptations and character-driven dramas.
-
D.
Amanda Woods
Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
-
E.
Claire Lademacher
Claire Lademacher is a German-born bioethics researcher who became a member of the Luxembourg royal family through her marriage to Prince Félix.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.