Triple

T15659672
Position Surface form Disambiguated ID Type / Status
Subject H. Leivick E376536 entity
Predicate familyName P18 FINISHED
Object Halpern
Halpern is a Jewish surname of Ashkenazi origin borne by various notable figures, including writers such as H. Leivick.
 E1170354 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: Halpern | Statement: [H. Leivick, familyName, Halpern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halpern
Context triple: [H. Leivick, familyName, Halpern]
  • A. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • B. Herlihy
    Herlihy is an Irish-origin surname borne by various notable individuals, including writers, scholars, and public figures.
  • C. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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: Halpern
Triple: [H. Leivick, familyName, Halpern]
Generated description
Halpern is a Jewish surname of Ashkenazi origin borne by various notable figures, including writers such as H. Leivick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halpern
Target entity description: Halpern is a Jewish surname of Ashkenazi origin borne by various notable figures, including writers such as H. Leivick.
  • A. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • B. Herlihy
    Herlihy is an Irish-origin surname borne by various notable individuals, including writers, scholars, and public figures.
  • C. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68a1b374819089dc6fe1f252cc0f completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff698bf6a481908d326451232a8cbb completed May 9, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:15 a.m.