Triple
T23075035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beloved Rogue |
E575304
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Marceline Day |
—
|
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: Marceline Day | Statement: [The Beloved Rogue, starring, Marceline Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marceline Day Context triple: [The Beloved Rogue, starring, Marceline Day]
-
A.
Marceline Day
chosen
Marceline Day was an American silent film actress best known for her leading roles in 1920s comedies and dramas, including opposite Buster Keaton.
-
B.
Marceline
Marceline is a small town in north-central Missouri best known as Walt Disney’s boyhood hometown and the inspiration for elements of Main Street, U.S.A.
-
C.
Marceline
Marceline is a central female character in Luigi Cherubini’s opera "Les deux journées," around whom much of the drama and emotional tension revolves.
-
D.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
E.
Parjumouf
Parjumouf is a narrative section or tale within the Swedish literary work "Törnrosens bok" by Carl Jonas Love Almqvist.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.