Triple

T2952888
Position Surface form Disambiguated ID Type / Status
Subject Huber E79860 entity
Predicate hasNotableBearer P458 FINISHED
Object Stephanie Huber
Stephanie Huber is a notable individual recognized as a bearer of the surname Huber.
 E319763 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: Stephanie Huber | Statement: [Huber, hasNotableBearer, Stephanie Huber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephanie Huber
Context triple: [Huber, hasNotableBearer, Stephanie Huber]
  • A. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • B. Julie Naschauer
    Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
  • C. Julie Schumann
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • D. Christine Kuehbeck
    Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
  • E. Cynthia Scheider
    Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
  • 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: Stephanie Huber
Triple: [Huber, hasNotableBearer, Stephanie Huber]
Generated description
Stephanie Huber is a notable individual recognized as a bearer of the surname Huber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephanie Huber
Target entity description: Stephanie Huber is a notable individual recognized as a bearer of the surname Huber.
  • A. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • B. Julie Naschauer
    Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
  • C. Julie Schumann
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • D. Christine Kuehbeck
    Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
  • E. Cynthia Scheider
    Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1defb7b1881908cdca96e0e7fd75c completed March 11, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69b1df8705fc8190827d1d131a6f274a completed March 11, 2026, 9:32 p.m.
Created at: March 8, 2026, 2:57 p.m.