Triple
T1825827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Luc Godard |
E40649
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne Wiazemsky
Anne Wiazemsky was a French actress and novelist known for her roles in 1960s European art cinema and her later acclaimed literary career.
|
E205191
|
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: Anne Wiazemsky | Statement: [Jean-Luc Godard, spouse, Anne Wiazemsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Wiazemsky Context triple: [Jean-Luc Godard, spouse, Anne Wiazemsky]
-
A.
Maria Miloslavskaya
Maria Miloslavskaya was the first wife of Tsar Alexis I of Russia and a Russian tsarina from the influential Miloslavsky noble family in the 17th century.
-
B.
Valentina Olszewska
Valentina Olszewska was the wife of mathematician Georg Cantor, the founder of set theory.
-
C.
Emilie Benes Brzezinski
Emilie Benes Brzezinski is a Czech-American sculptor known for her monumental wood sculptures and environmental installations.
-
D.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
-
E.
Nina Khrushcheva
Nina Khrushcheva was the wife of Soviet leader Nikita Khrushchev and served as an unofficial first lady of the Soviet Union during his tenure.
- 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: Anne Wiazemsky Triple: [Jean-Luc Godard, spouse, Anne Wiazemsky]
Generated description
Anne Wiazemsky was a French actress and novelist known for her roles in 1960s European art cinema and her later acclaimed literary career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Wiazemsky Target entity description: Anne Wiazemsky was a French actress and novelist known for her roles in 1960s European art cinema and her later acclaimed literary career.
-
A.
Maria Miloslavskaya
Maria Miloslavskaya was the first wife of Tsar Alexis I of Russia and a Russian tsarina from the influential Miloslavsky noble family in the 17th century.
-
B.
Valentina Olszewska
Valentina Olszewska was the wife of mathematician Georg Cantor, the founder of set theory.
-
C.
Emilie Benes Brzezinski
Emilie Benes Brzezinski is a Czech-American sculptor known for her monumental wood sculptures and environmental installations.
-
D.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
-
E.
Nina Khrushcheva
Nina Khrushcheva was the wife of Soviet leader Nikita Khrushchev and served as an unofficial first lady of the Soviet Union during his tenure.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb00f13888190aa5582263d55d371 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9af6d3c8190a9047d06f38f210d |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaef04e88190a88f789a6370bafb |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcb8e053c819082a3d4b36afe35be |
completed | March 8, 2026, 7:18 p.m. |
Created at: March 4, 2026, 7:32 p.m.