Triple

T12173803
Position Surface form Disambiguated ID Type / Status
Subject Bianca Andreescu E290038 entity
Predicate familyName P18 FINISHED
Object Andreescu
Andreescu is the surname of Canadian professional tennis player Bianca Andreescu, known for winning the 2019 US Open.
E965874 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: Andreescu | Statement: [Bianca Andreescu, familyName, Andreescu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreescu
Context triple: [Bianca Andreescu, familyName, Andreescu]
  • A. Murray Klamkin
    Murray Klamkin was a prominent American mathematician and problem solver known for his influential work in mathematical problem posing, editing, and education.
  • B. Avramescu
    Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
  • C. Sergiu Nicolaescu
    Sergiu Nicolaescu was a prominent Romanian film director, actor, and politician known for his historical epics and influential role in post-communist Romanian politics.
  • D. Dumitrescu
    Dumitrescu is a Romanian surname borne by numerous notable figures in fields such as politics, the military, sports, and the arts.
  • E. Ilya Piatetski-Shapiro
    Ilya Piatetski-Shapiro was a prominent Soviet-Israeli mathematician known for his influential work in number theory, representation theory, and automorphic forms.
  • 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: Andreescu
Triple: [Bianca Andreescu, familyName, Andreescu]
Generated description
Andreescu is the surname of Canadian professional tennis player Bianca Andreescu, known for winning the 2019 US Open.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andreescu
Target entity description: Andreescu is the surname of Canadian professional tennis player Bianca Andreescu, known for winning the 2019 US Open.
  • A. Murray Klamkin
    Murray Klamkin was a prominent American mathematician and problem solver known for his influential work in mathematical problem posing, editing, and education.
  • B. Avramescu
    Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
  • C. Sergiu Nicolaescu
    Sergiu Nicolaescu was a prominent Romanian film director, actor, and politician known for his historical epics and influential role in post-communist Romanian politics.
  • D. Dumitrescu
    Dumitrescu is a Romanian surname borne by numerous notable figures in fields such as politics, the military, sports, and the arts.
  • E. Ilya Piatetski-Shapiro
    Ilya Piatetski-Shapiro was a prominent Soviet-Israeli mathematician known for his influential work in number theory, representation theory, and automorphic forms.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdebe3fc81909a5bb23a943c3c43 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:50 p.m.