Triple
T11464915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crowd Roars (1928) |
E271754
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Anita Page
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.
|
E927922
|
NE FINISHED |
How this triple was built (4 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 Crowd Roars (1928), starredActor, Anita Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Page Context triple: [The Crowd Roars (1928), starredActor, Anita Page]
-
A.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
-
B.
Hattie Bilson
Hattie Bilson is a family member of American actress Rachel Bilson, known primarily in relation to the Bilson entertainment family.
-
C.
Betty McGlown
Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
-
D.
Marilyn Miller
Marilyn Miller was a celebrated American Broadway musical star of the 1910s and 1920s, renowned for her charismatic dancing, singing, and stage presence.
-
E.
Frances Bavier
Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anita Page Triple: [The Crowd Roars (1928), starredActor, Anita Page]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anita Page Target entity description: 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.
-
A.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
-
B.
Hattie Bilson
Hattie Bilson is a family member of American actress Rachel Bilson, known primarily in relation to the Bilson entertainment family.
-
C.
Betty McGlown
Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
-
D.
Marilyn Miller
Marilyn Miller was a celebrated American Broadway musical star of the 1910s and 1920s, renowned for her charismatic dancing, singing, and stage presence.
-
E.
Frances Bavier
Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
- F. None of above. chosen
Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.