Triple

T12878378
Position Surface form Disambiguated ID Type / Status
Subject Robert J. Alpern E308022 entity
Predicate familyName P18 FINISHED
Object Alpern
Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
E1007782 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: Alpern | Statement: [Robert J. Alpern, familyName, Alpern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpern
Context triple: [Robert J. Alpern, familyName, Alpern]
  • A. Halanzy
    Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • B. Reisenberg
    Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
  • C. Benkheim
    Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
  • D. Felden
    Felden is a residential area on the outskirts of Hemel Hempstead in Hertfordshire, England, known for its leafy surroundings and proximity to the Chilterns.
  • E. Oxenberg
    Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
  • 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: Alpern
Triple: [Robert J. Alpern, familyName, Alpern]
Generated description
Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alpern
Target entity description: Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
  • A. Halanzy
    Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • B. Reisenberg
    Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
  • C. Benkheim
    Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
  • D. Felden
    Felden is a residential area on the outskirts of Hemel Hempstead in Hertfordshire, England, known for its leafy surroundings and proximity to the Chilterns.
  • E. Oxenberg
    Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:38 p.m.