Triple
T2550357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intolerance |
E56609
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Constance Talmadge
Constance Talmadge was a popular American silent film actress known for her comedic roles and vivacious screen presence in the 1910s and 1920s.
|
E276588
|
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: Constance Talmadge | Statement: [Intolerance, stars, Constance Talmadge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance Talmadge Context triple: [Intolerance, stars, Constance Talmadge]
-
A.
Betty Talmadge
Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
-
B.
Dixie Lee
Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
-
C.
Nancy Louise Macon
Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
-
D.
Blanche Butler
Blanche Butler was the daughter of American Civil War general and politician Benjamin F. Butler, known primarily for her connection to this prominent 19th-century figure.
-
E.
Nellie W. Carter
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
- 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: Constance Talmadge Triple: [Intolerance, stars, Constance Talmadge]
Generated description
Constance Talmadge was a popular American silent film actress known for her comedic roles and vivacious screen presence in the 1910s and 1920s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Constance Talmadge Target entity description: Constance Talmadge was a popular American silent film actress known for her comedic roles and vivacious screen presence in the 1910s and 1920s.
-
A.
Betty Talmadge
Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
-
B.
Dixie Lee
Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
-
C.
Nancy Louise Macon
Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
-
D.
Blanche Butler
Blanche Butler was the daughter of American Civil War general and politician Benjamin F. Butler, known primarily for her connection to this prominent 19th-century figure.
-
E.
Nellie W. Carter
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e930508190a6bc9fc4fa431070 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d114964819092b847c701a0704e |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5db1c290819099d88815ebe97c1b |
completed | March 9, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e2cd2588190bc24c3cdd350fa70 |
completed | March 9, 2026, 11:56 p.m. |
Created at: March 6, 2026, 9:48 p.m.