Triple

T3262666
Position Surface form Disambiguated ID Type / Status
Subject Peter Berg E68447 entity
Predicate actedIn P1668 FINISHED
Object Chicago Hope E336737 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: Chicago Hope | Statement: [Peter Berg, actedIn, Chicago Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Hope
Context triple: [Peter Berg, actedIn, Chicago Hope]
  • A. Chicago Hope chosen
    Chicago Hope is an American medical drama television series set in a fictional Chicago hospital, known for its ensemble cast and focus on complex ethical and personal issues in medicine.
  • B. St. Elsewhere
    St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
  • C. Chicago Fire
    Chicago Fire is a professional Major League Soccer club based in Chicago, Illinois, known for its early success in both league and cup competitions.
  • D. Chicago Fire
    Chicago Fire was a short-lived professional American football franchise that competed in the World Football League during its brief existence in the mid-1970s.
  • E. Hope (Providence)
    Hope is a small village in Providence County, Rhode Island, known historically for its mill and rural New England character.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.