Triple

T10364641
Position Surface form Disambiguated ID Type / Status
Subject Brenda Song E244220 entity
Predicate notableWork P4 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: [Brenda Song, notableWork, Station 19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Station 19
Context triple: [Brenda Song, notableWork, 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. Quantico (TV series)
    Quantico is an American thriller drama television series that follows a group of FBI recruits and agents as they navigate high-stakes terrorism investigations and personal betrayals.
  • C. 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.
  • 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. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e964a53c8190b748e80850e96656 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, noon