Triple

T3621973
Position Surface form Disambiguated ID Type / Status
Subject A Wedding E76746 entity
Predicate hasCastMember P2308 FINISHED
Object Lenka Peterson
Lenka Peterson was an American stage, film, and television actress known for her versatile character roles from the mid-20th century onward.
E373007 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: Lenka Peterson | Statement: [A Wedding, hasCastMember, Lenka Peterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenka Peterson
Context triple: [A Wedding, hasCastMember, Lenka Peterson]
  • A. Emilie Schenkl
    Emilie Schenkl was an Austrian woman best known as the wife of Indian nationalist leader Subhas Chandra Bose and the mother of their daughter, Anita Bose Pfaff.
  • B. Nicole Pechanec
    Nicole Pechanec is a former Stanford and U.S. national team gymnast who later became a sports television producer and analyst.
  • C. Hana Benešová
    Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Hanna Turchynova
    Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
  • 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: Lenka Peterson
Triple: [A Wedding, hasCastMember, Lenka Peterson]
Generated description
Lenka Peterson was an American stage, film, and television actress known for her versatile character roles from the mid-20th century onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lenka Peterson
Target entity description: Lenka Peterson was an American stage, film, and television actress known for her versatile character roles from the mid-20th century onward.
  • A. Emilie Schenkl
    Emilie Schenkl was an Austrian woman best known as the wife of Indian nationalist leader Subhas Chandra Bose and the mother of their daughter, Anita Bose Pfaff.
  • B. Nicole Pechanec
    Nicole Pechanec is a former Stanford and U.S. national team gymnast who later became a sports television producer and analyst.
  • C. Hana Benešová
    Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Hanna Turchynova
    Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436140e9c81909c0616e6fce36c2b completed March 13, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69b439c83580819091024e692847a7db completed March 13, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:23 p.m.