Triple

T16168374
Position Surface form Disambiguated ID Type / Status
Subject Bauer family E392367 entity
Predicate hasFamilyMember P7844 FINISHED
Object Michelle Bauer
Michelle Bauer is a fictional character from the soap opera "Guiding Light," known as a member of the Bauer family.
E1275071 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: Michelle Bauer | Statement: [Bauer family, hasFamilyMember, Michelle Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Bauer
Context triple: [Bauer family, hasFamilyMember, Michelle Bauer]
  • A. Emily Friehl
    Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
  • B. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • C. Melissa Sasse
    Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
  • D. Michelle Foster
    Michelle Foster is a fictional character from the romantic comedy film "Chasing Liberty," which follows the adventures of the rebellious daughter of the U.S. President.
  • E. Karen Borchers
    Karen Borchers is a professional photographer best known for her work as a photojournalist with the San Jose Mercury News.
  • 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: Michelle Bauer
Triple: [Bauer family, hasFamilyMember, Michelle Bauer]
Generated description
Michelle Bauer is a fictional character from the soap opera "Guiding Light," known as a member of the Bauer family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michelle Bauer
Target entity description: Michelle Bauer is a fictional character from the soap opera "Guiding Light," known as a member of the Bauer family.
  • A. Emily Friehl
    Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
  • B. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • C. Melissa Sasse
    Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
  • D. Michelle Foster
    Michelle Foster is a fictional character from the romantic comedy film "Chasing Liberty," which follows the adventures of the rebellious daughter of the U.S. President.
  • E. Karen Borchers
    Karen Borchers is a professional photographer best known for her work as a photojournalist with the San Jose Mercury News.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb4ea9c81908806f9771ae80148 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d27210b4819099aed53a2820591a completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d30961788190881f78d1989bd4ae completed May 11, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a01d65ce2a48190a78e58b643de699a completed May 11, 2026, 1:15 p.m.
Created at: April 10, 2026, 5:02 a.m.