Triple
T9967332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marisa |
E195715
|
entity |
| Predicate | hasGivenNameBearers |
P83908
|
FINISHED |
| Object |
Marisa Berenson
Marisa Berenson is an American actress and former fashion model best known for her roles in films such as "Cabaret" and "Barry Lyndon."
|
E848246
|
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: Marisa Berenson | Statement: [Marisa, hasGivenNameBearers, Marisa Berenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marisa Berenson Context triple: [Marisa, hasGivenNameBearers, Marisa Berenson]
-
A.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
-
B.
Risa Zaitschek
Risa Zaitschek is a visual artist and designer best known for creating the cover art for Neil Young’s album "Rust Never Sleeps."
-
C.
Elise Pearlstein
Elise Pearlstein is an American film producer best known for her work on acclaimed documentaries, including the Oscar-nominated "Food, Inc."
-
D.
Nina Myers
Nina Myers is a central antagonist in the television series "24," known as a duplicitous Counter Terrorist Unit agent who betrays protagonist Jack Bauer.
-
E.
Joelle Jacobi
Joelle Jacobi is an actress known for her role in the film "The Lady in White."
- 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: Marisa Berenson Triple: [Marisa, hasGivenNameBearers, Marisa Berenson]
Generated description
Marisa Berenson is an American actress and former fashion model best known for her roles in films such as "Cabaret" and "Barry Lyndon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marisa Berenson Target entity description: Marisa Berenson is an American actress and former fashion model best known for her roles in films such as "Cabaret" and "Barry Lyndon."
-
A.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
-
B.
Risa Zaitschek
Risa Zaitschek is a visual artist and designer best known for creating the cover art for Neil Young’s album "Rust Never Sleeps."
-
C.
Elise Pearlstein
Elise Pearlstein is an American film producer best known for her work on acclaimed documentaries, including the Oscar-nominated "Food, Inc."
-
D.
Nina Myers
Nina Myers is a central antagonist in the television series "24," known as a duplicitous Counter Terrorist Unit agent who betrays protagonist Jack Bauer.
-
E.
Joelle Jacobi
Joelle Jacobi is an actress known for her role in the film "The Lady in White."
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354c521dc819084b09c9a57c1a26c |
completed | April 6, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d35538f658819093dd8874ceeba32f |
completed | April 6, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d35633ba0c8190a5cda862394225fd |
completed | April 6, 2026, 6:44 a.m. |
Created at: March 30, 2026, 8:47 p.m.