Triple
T2484645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Vaughn |
E55895
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
Nadezhda Orenburg
Nadezhda Orenburg is a professional women's basketball club based in Orenburg, Russia, that competes in top domestic and European competitions.
|
E298755
|
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: Nadezhda Orenburg | Statement: [Kia Vaughn, memberOfSportsTeam, Nadezhda Orenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadezhda Orenburg Context triple: [Kia Vaughn, memberOfSportsTeam, Nadezhda Orenburg]
-
A.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
B.
Nina Alexandrovna
Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
-
C.
Zinaida Volkova
Zinaida Volkova was the eldest daughter of Russian revolutionary Leon Trotsky, known for her involvement in the early Soviet intellectual milieu and her tragic death in exile.
-
D.
Galina Burdonskaya
Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
E.
Ulitsa Gorchakova
Ulitsa Gorchakova is a Moscow Metro station on the Butovskaya Line serving the Yuzhnoye Butovo District in southern Moscow.
- 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: Nadezhda Orenburg Triple: [Kia Vaughn, memberOfSportsTeam, Nadezhda Orenburg]
Generated description
Nadezhda Orenburg is a professional women's basketball club based in Orenburg, Russia, that competes in top domestic and European competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nadezhda Orenburg Target entity description: Nadezhda Orenburg is a professional women's basketball club based in Orenburg, Russia, that competes in top domestic and European competitions.
-
A.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
B.
Nina Alexandrovna
Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
-
C.
Zinaida Volkova
Zinaida Volkova was the eldest daughter of Russian revolutionary Leon Trotsky, known for her involvement in the early Soviet intellectual milieu and her tragic death in exile.
-
D.
Galina Burdonskaya
Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
E.
Ulitsa Gorchakova
Ulitsa Gorchakova is a Moscow Metro station on the Butovskaya Line serving the Yuzhnoye Butovo District in southern Moscow.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc62dc38c8190a392c4179a78ae97 |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6b723f48190b93df0dc2de6c839 |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc750fee08190bf3c112f6f204af4 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:45 p.m.