Triple

T15899398
Position Surface form Disambiguated ID Type / Status
Subject Bernard Malamud E385543 entity
Predicate hasChild P369 FINISHED
Object Janna Malamud Smith
Janna Malamud Smith is an American writer and psychotherapist known for her memoirs and essays exploring family, identity, and caregiving.
E1298786 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: Janna Malamud Smith | Statement: [Bernard Malamud, hasChild, Janna Malamud Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janna Malamud Smith
Context triple: [Bernard Malamud, hasChild, Janna Malamud Smith]
  • A. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • B. Deborah Liebling
    Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
  • C. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Ellen Mirojnick
    Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
  • E. Judianna Makovsky
    Judianna Makovsky is an American costume designer known for her work on major films such as "Harry Potter and the Sorcerer’s Stone," "The Hunger Games," and "Seabiscuit."
  • 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: Janna Malamud Smith
Triple: [Bernard Malamud, hasChild, Janna Malamud Smith]
Generated description
Janna Malamud Smith is an American writer and psychotherapist known for her memoirs and essays exploring family, identity, and caregiving.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Janna Malamud Smith
Target entity description: Janna Malamud Smith is an American writer and psychotherapist known for her memoirs and essays exploring family, identity, and caregiving.
  • A. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • B. Deborah Liebling
    Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
  • C. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Ellen Mirojnick
    Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
  • E. Judianna Makovsky
    Judianna Makovsky is an American costume designer known for her work on major films such as "Harry Potter and the Sorcerer’s Stone," "The Hunger Games," and "Seabiscuit."
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563bd0688190b6f7a695be0a4625 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a032ff689cc81908f4944b8917ebe28 completed May 12, 2026, 1:49 p.m.
NEDg Description generation batch_6a0331d2b1ec81908fdd6278a4e378a4 completed May 12, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a03329ea1b08190b5922485cbee83a8 completed May 12, 2026, 2:01 p.m.
Created at: April 10, 2026, 4:51 a.m.