Triple

T5741681
Position Surface form Disambiguated ID Type / Status
Subject Lauren Weisberger E126628 entity
Predicate familyName P18 FINISHED
Object Weisberger
Weisberger is a surname most notably associated with Lauren Weisberger, the American author of the bestselling novel "The Devil Wears Prada."
 E543097 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: Weisberger | Statement: [Lauren Weisberger, familyName, Weisberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weisberger
Context triple: [Lauren Weisberger, familyName, Weisberger]
  • A. Weis
    Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
  • B. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • C. Weinberg
    Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
  • D. von Weichs
    von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • 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: Weisberger
Triple: [Lauren Weisberger, familyName, Weisberger]
Generated description
Weisberger is a surname most notably associated with Lauren Weisberger, the American author of the bestselling novel "The Devil Wears Prada."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weisberger
Target entity description: Weisberger is a surname most notably associated with Lauren Weisberger, the American author of the bestselling novel "The Devil Wears Prada."
  • A. Weis
    Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
  • B. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • C. Weinberg
    Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
  • D. von Weichs
    von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08a2bc1b08190998a7e5eb8d6d6ac completed March 23, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c08a85b508819088464b97b6c9bb99 completed March 23, 2026, 12:34 a.m.
Created at: March 22, 2026, 3:48 p.m.