Triple

T4904279
Position Surface form Disambiguated ID Type / Status
Subject Teri Hatcher E109876 entity
Predicate educatedAt P5 FINISHED
Object De Anza College E166941 NE FINISHED

How this triple was built (2 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: De Anza College | Statement: [Teri Hatcher, educatedAt, De Anza College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Anza College
Context triple: [Teri Hatcher, educatedAt, De Anza College]
  • A. De Anza College chosen
    De Anza College is a community college in Cupertino, California, known for its strong academic programs and proximity to Silicon Valley.
  • B. Mt. San Antonio College
    Mt. San Antonio College is a large public community college in Walnut, California, known for its comprehensive academic and vocational programs.
  • C. Pasadena City College
    Pasadena City College is a public community college in Pasadena, California, known for its strong transfer programs and notable alumni in fields such as film, arts, and sciences.
  • D. Cañada College
    Cañada College is a public community college located in San Mateo County, California, offering two-year degree and certificate programs.
  • E. Chaffey College
    Chaffey College is a public community college serving the Inland Empire region of Southern California with a range of academic, vocational, and transfer programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e6fdeac81909092f51ae40ad20e completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fdaaf588190a180d0bf5979c2d2 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:29 p.m.