Triple
T14567503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amos Vogel |
E341821
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marcia Vogel
Marcia Vogel is known as the wife of influential film programmer and Cinema 16 co-founder Amos Vogel.
|
E1209362
|
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: Marcia Vogel | Statement: [Amos Vogel, spouse, Marcia Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcia Vogel Context triple: [Amos Vogel, spouse, Marcia Vogel]
-
A.
Karen Prell
Karen Prell is an American puppeteer and animator best known for her work with Jim Henson’s Muppets, including performing Red Fraggle on "Fraggle Rock" and contributing to films like "Labyrinth."
-
B.
Gail Berke
Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
-
C.
Lesley Vogel
Lesley Vogel is an American actress and television producer best known as the mother of actress Hayden Panettiere.
-
D.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
E.
Susan Vogel
Susan Vogel is an American art historian and curator renowned for her influential work in the field of African art, including founding and directing major institutions and organizing landmark exhibitions.
- 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: Marcia Vogel Triple: [Amos Vogel, spouse, Marcia Vogel]
Generated description
Marcia Vogel is known as the wife of influential film programmer and Cinema 16 co-founder Amos Vogel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcia Vogel Target entity description: Marcia Vogel is known as the wife of influential film programmer and Cinema 16 co-founder Amos Vogel.
-
A.
Karen Prell
Karen Prell is an American puppeteer and animator best known for her work with Jim Henson’s Muppets, including performing Red Fraggle on "Fraggle Rock" and contributing to films like "Labyrinth."
-
B.
Gail Berke
Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
-
C.
Lesley Vogel
Lesley Vogel is an American actress and television producer best known as the mother of actress Hayden Panettiere.
-
D.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
E.
Susan Vogel
Susan Vogel is an American art historian and curator renowned for her influential work in the field of African art, including founding and directing major institutions and organizing landmark exhibitions.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d92c9788190aa4523a1e47bc561 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a00305c62d0819092d06963e09d51fc |
completed | May 10, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0030e12bd08190aa101634c88e37e7 |
completed | May 10, 2026, 7:16 a.m. |
Created at: April 10, 2026, 1:23 a.m.