Triple

T13844832
Position Surface form Disambiguated ID Type / Status
Subject Leonard Ornstein E332770 entity
Predicate familyName P18 FINISHED
Object Ornstein
Ornstein is a surname most notably associated with Leonard Ornstein, a Dutch physicist known for his contributions to statistical mechanics and the Ornstein–Uhlenbeck process.
 E1064374 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: Ornstein | Statement: [Leonard Ornstein, familyName, Ornstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ornstein
Context triple: [Leonard Ornstein, familyName, Ornstein]
  • A. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • B. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • C. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • D. Rubinstein
    Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
  • E. Pinzberg
    Pinzberg is a small municipality in the Upper Franconian region of Bavaria, Germany.
  • 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: Ornstein
Triple: [Leonard Ornstein, familyName, Ornstein]
Generated description
Ornstein is a surname most notably associated with Leonard Ornstein, a Dutch physicist known for his contributions to statistical mechanics and the Ornstein–Uhlenbeck process.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ornstein
Target entity description: Ornstein is a surname most notably associated with Leonard Ornstein, a Dutch physicist known for his contributions to statistical mechanics and the Ornstein–Uhlenbeck process.
  • A. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • B. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • C. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • D. Rubinstein
    Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
  • E. Pinzberg
    Pinzberg is a small municipality in the Upper Franconian region of Bavaria, Germany.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.