Triple

T10107232
Position Surface form Disambiguated ID Type / Status
Subject Huck Ziegler E216350 entity
Predicate partOf P40 FINISHED
Object Ziegler family
The Ziegler family is a familial group or lineage to which Huck Ziegler belongs.
 E842012 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: Ziegler family | Statement: [Huck Ziegler, partOf, Ziegler family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziegler family
Context triple: [Huck Ziegler, partOf, Ziegler family]
  • A. Seiler family
    The Seiler family is a prominent family known for its long-standing stewardship and management of the University of Georgia’s beloved English bulldog mascot, Uga.
  • B. Ochs family
    The Ochs family is a prominent American publishing dynasty best known for its long-standing ownership and leadership of The New York Times.
  • C. Schueller family
    The Schueller family is a prominent French dynasty best known for founding and controlling the L'Oréal cosmetics empire and for its major philanthropic influence.
  • D. Fricker family
    The Fricker family is a historical German family best known for its connections to notable cultural and literary figures, including members like Edith Fricker.
  • E. Hauser family
    The Hauser family is a philanthropic family known for its significant support of legal education and global academic initiatives, particularly at New York University School of Law.
  • 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: Ziegler family
Triple: [Huck Ziegler, partOf, Ziegler family]
Generated description
The Ziegler family is a familial group or lineage to which Huck Ziegler belongs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziegler family
Target entity description: The Ziegler family is a familial group or lineage to which Huck Ziegler belongs.
  • A. Seiler family
    The Seiler family is a prominent family known for its long-standing stewardship and management of the University of Georgia’s beloved English bulldog mascot, Uga.
  • B. Ochs family
    The Ochs family is a prominent American publishing dynasty best known for its long-standing ownership and leadership of The New York Times.
  • C. Schueller family
    The Schueller family is a prominent French dynasty best known for founding and controlling the L'Oréal cosmetics empire and for its major philanthropic influence.
  • D. Fricker family
    The Fricker family is a historical German family best known for its connections to notable cultural and literary figures, including members like Edith Fricker.
  • E. Hauser family
    The Hauser family is a philanthropic family known for its significant support of legal education and global academic initiatives, particularly at New York University School of Law.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0ca7f7c8190ba7ed37940aa933d completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
NEDg Description generation batch_69d2cd8d611c81909085b3290eb54d16 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce686da48190b32a2053b94f1d48 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:03 p.m.