Triple
T23264287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Trip |
E582102
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Luana Anders |
—
|
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: Luana Anders | Statement: [The Trip, hasCastMember, Luana Anders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luana Anders Context triple: [The Trip, hasCastMember, Luana Anders]
-
A.
Luana Anders
chosen
Luana Anders was an American actress known for her roles in low-budget horror and independent films of the 1960s and 1970s, as well as for her collaborations with director Roger Corman.
-
B.
Luana
Luana is a member of the Dutch royal family, known as one of the daughters of Prince Constantijn and Princess Laurentien of the Netherlands.
-
C.
Stella Adorf
Stella Adorf is a German actress and the daughter of renowned actor Mario Adorf.
-
D.
Karina Lombard
Karina Lombard is a French-American actress and model best known for her roles in films like "Legends of the Fall" and the TV series "The L Word."
-
E.
Luana Patten
Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.