Triple

T22087010
Position Surface form Disambiguated ID Type / Status
Subject Lillian Van Ornum E545804 entity
Predicate familyName P18 FINISHED
Object Van Ornum
Van Ornum is a surname of likely Dutch origin borne by individuals such as Lillian Van Ornum.
E1516570 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: Van Ornum | Statement: [Lillian Van Ornum, familyName, Van Ornum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Ornum
Context triple: [Lillian Van Ornum, familyName, Van Ornum]
  • A. Brockholst
    Brockholst was the nickname of Henry Brockholst Livingston, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the early 19th century.
  • B. Pangborn
    Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
  • C. Elam Lynds
    Elam Lynds was a 19th-century American prison warden and reformer known for implementing strict disciplinary systems in early U.S. penitentiaries.
  • D. Mahlon
    Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
  • E. Goranson
    Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
  • 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: Van Ornum
Triple: [Lillian Van Ornum, familyName, Van Ornum]
Generated description
Van Ornum is a surname of likely Dutch origin borne by individuals such as Lillian Van Ornum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Van Ornum
Target entity description: Van Ornum is a surname of likely Dutch origin borne by individuals such as Lillian Van Ornum.
  • A. Brockholst
    Brockholst was the nickname of Henry Brockholst Livingston, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the early 19th century.
  • B. Pangborn
    Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
  • C. Elam Lynds
    Elam Lynds was a 19th-century American prison warden and reformer known for implementing strict disciplinary systems in early U.S. penitentiaries.
  • D. Mahlon
    Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
  • E. Goranson
    Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e2e3108190883199f272756e4e completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80bfbd8c81908bab31f3f5f04365 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a8187516481909d8075dfc025614e completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8267498481908a2ba238fcdc1547 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:29 p.m.