Triple
T9729364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty |
E235698
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object |
Betty Richter
Betty Richter is a fictional character named Betty who serves as the central figure in the work in which she appears.
|
E822014
|
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: Betty Richter | Statement: [Betty, titleCharacter, Betty Richter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Richter Context triple: [Betty, titleCharacter, Betty Richter]
-
A.
Betty Reinhardt
Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
-
B.
Betty Bronson
Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
-
C.
Doris Rich
Doris Rich was the wife of American character actor John Carradine, known primarily for her marriage to the prolific film and stage performer.
-
D.
Mildred Natwick
Mildred Natwick was an American character actress known for her versatile performances in film, theater, and television, often in witty or eccentric supporting roles.
-
E.
Barbara Minty
Barbara Minty is an American former fashion model and author best known as the third wife and widow of actor Steve McQueen.
- 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: Betty Richter Triple: [Betty, titleCharacter, Betty Richter]
Generated description
Betty Richter is a fictional character named Betty who serves as the central figure in the work in which she appears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Richter Target entity description: Betty Richter is a fictional character named Betty who serves as the central figure in the work in which she appears.
-
A.
Betty Reinhardt
Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
-
B.
Betty Bronson
Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
-
C.
Doris Rich
Doris Rich was the wife of American character actor John Carradine, known primarily for her marriage to the prolific film and stage performer.
-
D.
Mildred Natwick
Mildred Natwick was an American character actress known for her versatile performances in film, theater, and television, often in witty or eccentric supporting roles.
-
E.
Barbara Minty
Barbara Minty is an American former fashion model and author best known as the third wife and widow of actor Steve McQueen.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4083b208190b0e23c4dcbea0532 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4fc4cc88190b020f672b9f9ba27 |
completed | April 5, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5a1cfb08190b6c16e5309dbf2b8 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:21 p.m.