Triple

T9116906
Position Surface form Disambiguated ID Type / Status
Subject Seton I. Miller E218743 entity
Predicate givenName P17 FINISHED
Object Seton
Seton is a given name most notably borne by American screenwriter and producer Seton I. Miller, known for his work in classic Hollywood cinema.
 E779787 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: Seton | Statement: [Seton I. Miller, givenName, Seton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seton
Context triple: [Seton I. Miller, givenName, Seton]
  • A. Rose of Saint Mary
    Rose of Saint Mary is another name for Saint Rose of Lima, the 17th-century Peruvian mystic venerated as the first canonized saint of the Americas.
  • B. Loretto
    Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
  • C. Loretto
    Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
  • D. MacKillop
    MacKillop is a rural electoral district in South Australia, known for its agricultural communities and expansive regional landscapes.
  • E. Sacred Heart
    Sacred Heart is a Roman Catholic devotion that honors Jesus Christ’s compassionate love for humanity, symbolized by his heart.
  • 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: Seton
Triple: [Seton I. Miller, givenName, Seton]
Generated description
Seton is a given name most notably borne by American screenwriter and producer Seton I. Miller, known for his work in classic Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seton
Target entity description: Seton is a given name most notably borne by American screenwriter and producer Seton I. Miller, known for his work in classic Hollywood cinema.
  • A. Rose of Saint Mary
    Rose of Saint Mary is another name for Saint Rose of Lima, the 17th-century Peruvian mystic venerated as the first canonized saint of the Americas.
  • B. Loretto
    Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
  • C. Loretto
    Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
  • D. MacKillop
    MacKillop is a rural electoral district in South Australia, known for its agricultural communities and expansive regional landscapes.
  • E. Sacred Heart
    Sacred Heart is a Roman Catholic devotion that honors Jesus Christ’s compassionate love for humanity, symbolized by his heart.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a4c9e08190ba3603a5d00afb20 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d034941af48190b612bdeb4e2a1648 completed April 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69d035250d1481908a7a0e108360192e completed April 3, 2026, 9:46 p.m.
Created at: March 30, 2026, 7:17 p.m.