Triple
T13716677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Women |
E328918
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Natalya Ivanova
Natalya Ivanova is a film producer known for her work on the movie "Two Women."
|
E1060203
|
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: Natalya Ivanova | Statement: [Two Women, producer, Natalya Ivanova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalya Ivanova Context triple: [Two Women, producer, Natalya Ivanova]
-
A.
Vera Ivanova Shuvalova
Vera Ivanova Shuvalova was the fourth wife of English comic actor Stan Laurel, whom he married in the 1930s during his Hollywood career.
-
B.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
C.
Natalya Simonova
Natalya Simonova is a Russian computer programmer and Bond girl who serves as the primary female lead and ally to James Bond in the 1995 film "GoldenEye."
-
D.
Natalya Abramova
Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
-
E.
Elena Kurakina
Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
- 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: Natalya Ivanova Triple: [Two Women, producer, Natalya Ivanova]
Generated description
Natalya Ivanova is a film producer known for her work on the movie "Two Women."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalya Ivanova Target entity description: Natalya Ivanova is a film producer known for her work on the movie "Two Women."
-
A.
Vera Ivanova Shuvalova
Vera Ivanova Shuvalova was the fourth wife of English comic actor Stan Laurel, whom he married in the 1930s during his Hollywood career.
-
B.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
C.
Natalya Simonova
Natalya Simonova is a Russian computer programmer and Bond girl who serves as the primary female lead and ally to James Bond in the 1995 film "GoldenEye."
-
D.
Natalya Abramova
Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
-
E.
Elena Kurakina
Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a847c4d08190b05ea525059f0465 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 9:54 p.m.