Triple
T12150658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Bach |
E289442
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Anya Amasova
Anya Amasova is a Soviet KGB agent and Bond girl featured in the James Bond film "The Spy Who Loved Me."
|
E994975
|
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: Anya Amasova | Statement: [Barbara Bach, notableRole, Anya Amasova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anya Amasova Context triple: [Barbara Bach, notableRole, Anya Amasova]
-
A.
Anastasia Virganskaya
Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
-
B.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
-
C.
Anna Snegina
"Anna Snegina" is a narrative poem by Russian poet Sergei Yesenin that blends lyrical romanticism with reflections on rural life and the upheavals of the Russian Revolution.
-
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.
Marina Klimova
Marina Klimova is a former Soviet ice dancer who, with partner Sergei Ponomarenko, became an Olympic and multiple-time World champion.
- 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: Anya Amasova Triple: [Barbara Bach, notableRole, Anya Amasova]
Generated description
Anya Amasova is a Soviet KGB agent and Bond girl featured in the James Bond film "The Spy Who Loved Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anya Amasova Target entity description: Anya Amasova is a Soviet KGB agent and Bond girl featured in the James Bond film "The Spy Who Loved Me."
-
A.
Anastasia Virganskaya
Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
-
B.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
-
C.
Anna Snegina
"Anna Snegina" is a narrative poem by Russian poet Sergei Yesenin that blends lyrical romanticism with reflections on rural life and the upheavals of the Russian Revolution.
-
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.
Marina Klimova
Marina Klimova is a former Soviet ice dancer who, with partner Sergei Ponomarenko, became an Olympic and multiple-time World champion.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6684d33888190ba68425685d515ac |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 8, 2026, 9:49 p.m.