Triple
T18830671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road to Reno |
E460518
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Anita Page |
—
|
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: Anita Page | Statement: [The Road to Reno, stars, Anita Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Page Context triple: [The Road to Reno, stars, Anita Page]
-
A.
Anita Page
chosen
Anita Page was a popular American film actress of the late silent and early sound era, best known for her work at MGM in the late 1920s and early 1930s.
-
B.
Marilyn Funt
Marilyn Funt is best known as the wife of "Candid Camera" creator and host Allen Funt.
-
C.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
-
D.
Hattie Bilson
Hattie Bilson is a family member of American actress Rachel Bilson, known primarily in relation to the Bilson entertainment family.
-
E.
Fay Baker
Fay Baker was an American actress known for her character roles in mid-20th-century film and television, often appearing in dramas and thrillers.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.