Triple

T2860024
Position Surface form Disambiguated ID Type / Status
Subject Abraham Joshua Heschel E63295 entity
Predicate child P120 FINISHED
Object Susannah Heschel
Susannah Heschel is a prominent Jewish scholar and professor of Jewish studies known for her work on modern Jewish thought, feminism, and the legacy of her father, theologian Abraham Joshua Heschel.
E306506 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: Susannah Heschel | Statement: [Abraham Joshua Heschel, child, Susannah Heschel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susannah Heschel
Context triple: [Abraham Joshua Heschel, child, Susannah Heschel]
  • A. Judith Plaskow
    Judith Plaskow is a pioneering Jewish feminist theologian and scholar whose work has profoundly shaped contemporary feminist thought within Judaism.
  • B. Anne Citron
    Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
  • C. Beth Lehem
    Beth Lehem is a transliteration of the Hebrew name commonly rendered as Bethlehem, an ancient town of major biblical and historical significance.
  • D. Miriam Bienstock
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • E. Orna Grumberg
    Orna Grumberg is a prominent computer scientist known for her contributions to formal verification and model checking.
  • 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: Susannah Heschel
Triple: [Abraham Joshua Heschel, child, Susannah Heschel]
Generated description
Susannah Heschel is a prominent Jewish scholar and professor of Jewish studies known for her work on modern Jewish thought, feminism, and the legacy of her father, theologian Abraham Joshua Heschel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susannah Heschel
Target entity description: Susannah Heschel is a prominent Jewish scholar and professor of Jewish studies known for her work on modern Jewish thought, feminism, and the legacy of her father, theologian Abraham Joshua Heschel.
  • A. Judith Plaskow
    Judith Plaskow is a pioneering Jewish feminist theologian and scholar whose work has profoundly shaped contemporary feminist thought within Judaism.
  • B. Anne Citron
    Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
  • C. Beth Lehem
    Beth Lehem is a transliteration of the Hebrew name commonly rendered as Bethlehem, an ancient town of major biblical and historical significance.
  • D. Miriam Bienstock
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • E. Orna Grumberg
    Orna Grumberg is a prominent computer scientist known for her contributions to formal verification and model checking.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8aec3c8190a4168d8c916b5268 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d972aa481908f6cb5f27706990c completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b021fbc2808190b415fd8af934cf73 completed March 10, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69b02656f8488190ab0d715d1634b6a7 completed March 10, 2026, 2:10 p.m.
Created at: March 6, 2026, 10:02 p.m.