Triple

T5587661
Position Surface form Disambiguated ID Type / Status
Subject Alison Eastwood E146794 entity
Predicate educatedAt P5 FINISHED
Object Santa Catalina School
Santa Catalina School is a private, Catholic, college-preparatory day and boarding school for girls located in Monterey, California.
E528825 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: Santa Catalina School | Statement: [Alison Eastwood, educatedAt, Santa Catalina School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Catalina School
Context triple: [Alison Eastwood, educatedAt, Santa Catalina School]
  • A. Patricia A. Duran School
    Patricia A. Duran School is a public elementary school serving young students in the town of Hermon, Maine.
  • B. Gabrielino High School
    Gabrielino High School is a public secondary school serving students in the San Gabriel area of California.
  • C. La Serna High School
    La Serna High School is a public secondary school serving students in the Whittier area of Southern California.
  • D. Encinal School
    Encinal School is a public elementary school serving students in the Menlo Park–Atherton area of California.
  • E. Santa María del Camino School
    Santa María del Camino School is a private educational institution in Spain known for serving members of the Spanish royal family, including Infanta Elena, Duchess of Lugo.
  • 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: Santa Catalina School
Triple: [Alison Eastwood, educatedAt, Santa Catalina School]
Generated description
Santa Catalina School is a private, Catholic, college-preparatory day and boarding school for girls located in Monterey, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santa Catalina School
Target entity description: Santa Catalina School is a private, Catholic, college-preparatory day and boarding school for girls located in Monterey, California.
  • A. Patricia A. Duran School
    Patricia A. Duran School is a public elementary school serving young students in the town of Hermon, Maine.
  • B. Gabrielino High School
    Gabrielino High School is a public secondary school serving students in the San Gabriel area of California.
  • C. La Serna High School
    La Serna High School is a public secondary school serving students in the Whittier area of Southern California.
  • D. Encinal School
    Encinal School is a public elementary school serving students in the Menlo Park–Atherton area of California.
  • E. Santa María del Camino School
    Santa María del Camino School is a private educational institution in Spain known for serving members of the Spanish royal family, including Infanta Elena, Duchess of Lugo.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.