Triple
T1589095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyudmila Putina |
E34136
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Maria Putina
Maria Putina is the elder daughter of Russian president Vladimir Putin and his former wife Lyudmila Putina.
|
E181070
|
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: Maria Putina | Statement: [Lyudmila Putina, child, Maria Putina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Putina Context triple: [Lyudmila Putina, child, Maria Putina]
-
A.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
-
B.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
C.
Caterina Tezio
Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
D.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
-
E.
Margarida
Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
- 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: Maria Putina Triple: [Lyudmila Putina, child, Maria Putina]
Generated description
Maria Putina is the elder daughter of Russian president Vladimir Putin and his former wife Lyudmila Putina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Putina Target entity description: Maria Putina is the elder daughter of Russian president Vladimir Putin and his former wife Lyudmila Putina.
-
A.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
-
B.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
C.
Caterina Tezio
Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
D.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
-
E.
Margarida
Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9090e251c81909ebb21a6b6262303 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469eaf588190ac6db1c8fb7fa04e |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad479c0a0c8190b2ccef1bbc7c0b1a |
completed | March 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48642590819082f4102f6b860a65 |
completed | March 8, 2026, 9:59 a.m. |
Created at: March 4, 2026, 7:27 p.m.