Triple
T1589081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyudmila Putina |
E34136
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Putina |
E34136
|
NE FINISHED |
How this triple was built (2 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: Putina | Statement: [Lyudmila Putina, familyName, Putina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putina Context triple: [Lyudmila Putina, familyName, Putina]
-
A.
Lyudmila Putina
chosen
Lyudmila Putina is the former First Lady of Russia and ex-wife of President Vladimir Putin, known for her low public profile and background as a linguist and translator.
-
B.
Peskov
Peskov is a city in western Russia known for its historic kremlin and role as an important cultural and administrative center near the Estonian border.
-
C.
Karen Pence
Karen Pence is an American educator and watercolor artist who served as Second Lady of the United States during Mike Pence’s vice presidency.
-
D.
Ronna
Ronna is a residential district within Södertälje Municipality in Sweden, known for its diverse population and suburban character.
-
E.
Olena Zelenska
Olena Zelenska is the First Lady of Ukraine, a screenwriter and public figure known for her advocacy in education, health, and cultural diplomacy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad51b5d6f48190baac5d3d6fe13206 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.