Triple

T17073303
Position Surface form Disambiguated ID Type / Status
Subject Susan Kohner E414276 entity
Predicate familyName P18 FINISHED
Object Kohner
Kohner is a surname most notably associated with American actress Susan Kohner, known for her acclaimed film and television work in the mid-20th century.
 E1249549 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: Kohner | Statement: [Susan Kohner, familyName, Kohner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kohner
Context triple: [Susan Kohner, familyName, Kohner]
  • A. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • B. Cohon
    Cohon is the family surname of American actor, author, and narrator Peter Coyote, born Peter Cohon.
  • C. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • D. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • E. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • 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: Kohner
Triple: [Susan Kohner, familyName, Kohner]
Generated description
Kohner is a surname most notably associated with American actress Susan Kohner, known for her acclaimed film and television work in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kohner
Target entity description: Kohner is a surname most notably associated with American actress Susan Kohner, known for her acclaimed film and television work in the mid-20th century.
  • A. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • B. Cohon
    Cohon is the family surname of American actor, author, and narrator Peter Coyote, born Peter Cohon.
  • C. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • D. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • E. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c2ad9881909d8a8b64ebb59aa6 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:34 a.m.