Triple

T9340884
Position Surface form Disambiguated ID Type / Status
Subject Malin Åkerman E224759 entity
Predicate playedIn P2170 FINISHED
Object Childrens Hospital E792686 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: Childrens Hospital | Statement: [Malin Åkerman, playedIn, Childrens Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Childrens Hospital
Context triple: [Malin Åkerman, playedIn, Childrens Hospital]
  • A. Childrens Hospital chosen
    "Childrens Hospital" is a satirical American television comedy series that parodies medical dramas through absurd and dark humor.
  • B. Children’s Hospital
    Children’s Hospital is the original institution that evolved into Children’s National Medical Center, a major pediatric healthcare and research facility in Washington, D.C.
  • C. Children’s Hospital
    Children’s Hospital was the original name of the Royal Children’s Hospital, a major pediatric healthcare institution in Melbourne, Australia.
  • D. Comer Children’s Hospital
    Comer Children’s Hospital is a pediatric teaching hospital in Chicago affiliated with the University of Chicago, providing specialized medical care for infants, children, and adolescents.
  • E. Boston Children’s Hospital
    Boston Children’s Hospital is a leading pediatric medical center and research institution in Boston, renowned for specialized care for infants, children, and adolescents.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bafa9108190889397614756020d completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3bad4388190ac53657027262a46 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:40 p.m.