Triple

T3265013
Position Surface form Disambiguated ID Type / Status
Subject W. Craig Jelinek E68504 entity
Predicate familyName P18 FINISHED
Object Jelinek
Jelinek is a surname most prominently associated with W. Craig Jelinek, the longtime CEO of Costco Wholesale Corporation.
E341570 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: Jelinek | Statement: [W. Craig Jelinek, familyName, Jelinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jelinek
Context triple: [W. Craig Jelinek, familyName, Jelinek]
  • A. Cornelia Srebnick
    Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
  • B. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • C. 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.
  • D. Monika Henreid
    Monika Henreid is the daughter of classic Hollywood actor and director Paul Henreid, known for his roles in films such as "Casablanca" and "Now, Voyager."
  • E. Ruzena Bajcsy
    Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
  • 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: Jelinek
Triple: [W. Craig Jelinek, familyName, Jelinek]
Generated description
Jelinek is a surname most prominently associated with W. Craig Jelinek, the longtime CEO of Costco Wholesale Corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jelinek
Target entity description: Jelinek is a surname most prominently associated with W. Craig Jelinek, the longtime CEO of Costco Wholesale Corporation.
  • A. Cornelia Srebnick
    Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
  • B. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • C. 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.
  • D. Monika Henreid
    Monika Henreid is the daughter of classic Hollywood actor and director Paul Henreid, known for his roles in films such as "Casablanca" and "Now, Voyager."
  • E. Ruzena Bajcsy
    Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b29015e77481908c8b41fc3f75dd6f completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac133f648190a4040881db05a353 completed March 12, 2026, 12:05 p.m.
Created at: March 8, 2026, 3:09 p.m.