Triple

T10280686
Position Surface form Disambiguated ID Type / Status
Subject Debbie Rowe E241091 entity
Predicate familyName P18 FINISHED
Object Rowe
Rowe is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and public life.
 E852127 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: Rowe | Statement: [Debbie Rowe, familyName, Rowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rowe
Context triple: [Debbie Rowe, familyName, Rowe]
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • C. Rowecki
    Rowecki is a Polish surname most notably borne by Stefan Rowecki, a key commander of the Polish resistance during World War II.
  • D. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • E. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • 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: Rowe
Triple: [Debbie Rowe, familyName, Rowe]
Generated description
Rowe is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rowe
Target entity description: Rowe is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and public life.
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • C. Rowecki
    Rowecki is a Polish surname most notably borne by Stefan Rowecki, a key commander of the Polish resistance during World War II.
  • D. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • E. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82f16688190b1c6b80e424bd552 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcad625881909304201c1ebb3bcb completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd84cd708190816d94417294b52a completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:38 a.m.