Triple

T16226477
Position Surface form Disambiguated ID Type / Status
Subject Herbert H. Bateman E393862 entity
Predicate spouse P13 FINISHED
Object Laura Yacobi Bateman
Laura Yacobi Bateman is known primarily as the wife of biblical scholar and theologian Herbert H. Bateman.
E1254329 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: Laura Yacobi Bateman | Statement: [Herbert H. Bateman, spouse, Laura Yacobi Bateman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Yacobi Bateman
Context triple: [Herbert H. Bateman, spouse, Laura Yacobi Bateman]
  • A. Amy Yasbeck
    Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
  • B. Leah Haywood
    Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
  • C. Joelle Jacobi
    Joelle Jacobi is an actress known for her role in the film "The Lady in White."
  • D. Rebecca Dayan
    Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
  • E. Adeena Sussman
    Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
  • 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: Laura Yacobi Bateman
Triple: [Herbert H. Bateman, spouse, Laura Yacobi Bateman]
Generated description
Laura Yacobi Bateman is known primarily as the wife of biblical scholar and theologian Herbert H. Bateman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura Yacobi Bateman
Target entity description: Laura Yacobi Bateman is known primarily as the wife of biblical scholar and theologian Herbert H. Bateman.
  • A. Amy Yasbeck
    Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
  • B. Leah Haywood
    Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
  • C. Joelle Jacobi
    Joelle Jacobi is an actress known for her role in the film "The Lady in White."
  • D. Rebecca Dayan
    Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
  • E. Adeena Sussman
    Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d26b02c819080b70ab7cc3bcc24 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0149a552c88190a4f615f67459a705 completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a095934819097be0ad099bcde66 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:03 a.m.