Triple
T10494100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femme Fatale |
E247489
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object |
Marina Gefter
Marina Gefter is a film producer best known for her work on the movie "Femme Fatale."
|
E867719
|
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: Marina Gefter | Statement: [Femme Fatale, producedBy, Marina Gefter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Gefter Context triple: [Femme Fatale, producedBy, Marina Gefter]
-
A.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
B.
Julia Feldman
Julia Feldman is a character in the television series "NCIS: Los Angeles," known primarily as a relative of Special Agent Kensi Blye.
-
C.
Yulia Meltzer
Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
-
D.
Natasha Shneider
Natasha Shneider was a Russian-American musician, singer, and songwriter best known as the co-founder of the band Eleven and for her collaborations with artists like Chris Cornell and Queens of the Stone Age.
-
E.
Catherine Rusoff
Catherine Rusoff is an American actress known for her television work in the 1980s and 1990s and her long-term marriage to actor Ed O’Neill.
- 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: Marina Gefter Triple: [Femme Fatale, producedBy, Marina Gefter]
Generated description
Marina Gefter is a film producer best known for her work on the movie "Femme Fatale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marina Gefter Target entity description: Marina Gefter is a film producer best known for her work on the movie "Femme Fatale."
-
A.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
B.
Julia Feldman
Julia Feldman is a character in the television series "NCIS: Los Angeles," known primarily as a relative of Special Agent Kensi Blye.
-
C.
Yulia Meltzer
Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
-
D.
Natasha Shneider
Natasha Shneider was a Russian-American musician, singer, and songwriter best known as the co-founder of the band Eleven and for her collaborations with artists like Chris Cornell and Queens of the Stone Age.
-
E.
Catherine Rusoff
Catherine Rusoff is an American actress known for her television work in the 1980s and 1990s and her long-term marriage to actor Ed O’Neill.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.