Triple
T350634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasha Obama |
E7434
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Natasha
Natasha is the full first name of Natasha "Sasha" Obama, the younger daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
|
E40409
|
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: Natasha | Statement: [Sasha Obama, givenName, Natasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natasha Context triple: [Sasha Obama, givenName, Natasha]
-
A.
Celia Lovsky
Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
-
B.
Sasha
Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
-
C.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
-
D.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
E.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
- 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: Natasha Triple: [Sasha Obama, givenName, Natasha]
Generated description
Natasha is the full first name of Natasha "Sasha" Obama, the younger daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natasha Target entity description: Natasha is the full first name of Natasha "Sasha" Obama, the younger daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
-
A.
Celia Lovsky
Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
-
B.
Sasha
chosen
Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
-
C.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
-
D.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
E.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
- F. None of above.
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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1f028c819098fa6480b4ca5cf0 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd33a50c8190846d19c24eb74039 |
completed | March 1, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a3ddca8d3c8190b5baafe999a26b58 |
completed | March 1, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3de7f9b28819099cfe7c55a8168f0 |
completed | March 1, 2026, 6:36 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.