Triple

T3876864
Position Surface form Disambiguated ID Type / Status
Subject Ronald D. Liebowitz E92521 entity
Predicate familyName P18 FINISHED
Object Liebowitz
Liebowitz is a surname most notably associated with Ronald D. Liebowitz, an American academic administrator and university president.
 E395147 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: Liebowitz | Statement: [Ronald D. Liebowitz, familyName, Liebowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liebowitz
Context triple: [Ronald D. Liebowitz, familyName, Liebowitz]
  • A. Horwitz
    Horwitz is a German-French actor and singer known for his work in film, television, and theater, particularly in German-language productions.
  • B. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • C. Levinstein
    Levinstein is a surname of likely German or Ashkenazi Jewish origin, related etymologically to the name Löwenstein.
  • D. Leibowitz
    Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
  • E. Jilliby
    Jilliby is a rural locality on the Central Coast of New South Wales, Australia, known for its bushland, farmland, and proximity to regional natural attractions.
  • 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: Liebowitz
Triple: [Ronald D. Liebowitz, familyName, Liebowitz]
Generated description
Liebowitz is a surname most notably associated with Ronald D. Liebowitz, an American academic administrator and university president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liebowitz
Target entity description: Liebowitz is a surname most notably associated with Ronald D. Liebowitz, an American academic administrator and university president.
  • A. Horwitz
    Horwitz is a German-French actor and singer known for his work in film, television, and theater, particularly in German-language productions.
  • B. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • C. Levinstein
    Levinstein is a surname of likely German or Ashkenazi Jewish origin, related etymologically to the name Löwenstein.
  • D. Leibowitz
    Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
  • E. Jilliby
    Jilliby is a rural locality on the Central Coast of New South Wales, Australia, known for its bushland, farmland, and proximity to regional natural attractions.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec719c148190a731773ac262221b completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51251609c81909e19132475eb612d completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512d3e4ac8190834746b5b1a15fc4 completed March 14, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69b51339ee948190a7c9ab3c5eb106da completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:20 p.m.