Triple
T18812734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Fine |
E460055
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mabel Fine
Mabel Fine was the wife of comedian Larry Fine of The Three Stooges and a supportive figure in his personal life and career.
|
E1350078
|
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: Mabel Fine | Statement: [Larry Fine, spouse, Mabel Fine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mabel Fine Context triple: [Larry Fine, spouse, Mabel Fine]
-
A.
Mabel Esplin
Mabel Esplin was a British stained-glass artist active in the early 20th century, recognized for her contributions to the Arts and Crafts movement.
-
B.
Tillie Edelstein
Tillie Edelstein was the birth name of Gertrude Berg, the pioneering American actress, writer, and producer best known for creating and starring in the radio and television series "The Goldbergs."
-
C.
Mabel Lum
Mabel Lum was the mother of American actress and singer Betty Hutton.
-
D.
Tillie Siegel
Tillie Siegel is a fictional character appearing in the film "A Family Affair."
-
E.
Mildred Berk
Mildred Berk was the wife of Lawrence Berk, founder of the Berklee College of Music, and a partner in the early development of the institution.
- 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: Mabel Fine Triple: [Larry Fine, spouse, Mabel Fine]
Generated description
Mabel Fine was the wife of comedian Larry Fine of The Three Stooges and a supportive figure in his personal life and career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mabel Fine Target entity description: Mabel Fine was the wife of comedian Larry Fine of The Three Stooges and a supportive figure in his personal life and career.
-
A.
Mabel Esplin
Mabel Esplin was a British stained-glass artist active in the early 20th century, recognized for her contributions to the Arts and Crafts movement.
-
B.
Tillie Edelstein
Tillie Edelstein was the birth name of Gertrude Berg, the pioneering American actress, writer, and producer best known for creating and starring in the radio and television series "The Goldbergs."
-
C.
Mabel Lum
Mabel Lum was the mother of American actress and singer Betty Hutton.
-
D.
Tillie Siegel
Tillie Siegel is a fictional character appearing in the film "A Family Affair."
-
E.
Mildred Berk
Mildred Berk was the wife of Lawrence Berk, founder of the Berklee College of Music, and a partner in the early development of the institution.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0590fe846c8190a2d31f7b847382e5 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05956b9c2081909f358709562aa9c9 |
completed | May 14, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0595c7c70081909ab778baf172db0e |
completed | May 14, 2026, 9:28 a.m. |
Created at: April 10, 2026, 11:53 a.m.