Triple

T7753824
Position Surface form Disambiguated ID Type / Status
Subject The Dakota E175838 entity
Predicate hasNotableResident P1092 FINISHED
Object Connie Chung E197706 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: Connie Chung | Statement: [The Dakota, hasNotableResident, Connie Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie Chung
Context triple: [The Dakota, hasNotableResident, Connie Chung]
  • A. Connie Chung chosen
    Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
  • B. Margaret Chung
    Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
  • C. Julie Chu
    Julie Chu is an American ice hockey player and four-time Olympian renowned as one of the most accomplished figures in U.S. women's hockey history.
  • D. Linda Cho
    Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
  • E. Jennifer Lien
    Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cb9e608190bfe62bf37b485fe9 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:08 p.m.