Triple

T9886049
Position Surface form Disambiguated ID Type / Status
Subject Krista Vernoff E180933 entity
Predicate workedOn P3 FINISHED
Object Station 19 E175660 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: Station 19 | Statement: [Krista Vernoff, workedOn, Station 19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Station 19
Context triple: [Krista Vernoff, workedOn, Station 19]
  • A. Station 19 chosen
    Station 19 is an American drama television series that follows the personal and professional lives of firefighters at a Seattle fire station within the same universe as Grey’s Anatomy.
  • B. Chicago Fire
    Chicago Fire is an American television drama series that follows the personal and professional lives of firefighters and paramedics working at a Chicago firehouse.
  • C. 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.
  • D. 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.
  • E. Adam-12
    Adam-12 is an American television police drama series that followed two LAPD patrol officers on their daily calls and helped popularize a realistic, procedural depiction of urban policing in the late 1960s and early 1970s.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22891cb4c8190b4d378749599bdda completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:38 p.m.