Triple

T12492593
Position Surface form Disambiguated ID Type / Status
Subject Kyra Sedgwick E298603 entity
Predicate familyName P18 FINISHED
Object Sedgwick E298603 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: Sedgwick | Statement: [Kyra Sedgwick, familyName, Sedgwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sedgwick
Context triple: [Kyra Sedgwick, familyName, Sedgwick]
  • A. Sedgwick
    Sedgwick is a small village in Cumbria, England, known for its rural setting near Kendal and its historic canal and riverside scenery.
  • B. Sedgwick
    Sedgwick is a Chicago Transit Authority 'L' station serving the Brown Line in Chicago, Illinois.
  • C. Sedgwick chosen
    Sedgwick is an English-origin surname borne by various notable figures in fields such as acting, literature, and academia.
  • D. Bridgeland
    Bridgeland is a large, master-planned residential community in Cypress, Texas, known for its extensive amenities, green spaces, and family-oriented neighborhoods.
  • E. Westwick
    Westwick is a small village in Cambridgeshire, England, situated just northwest of Cambridge and closely linked administratively and geographically with the nearby village of Oakington.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bab99bc8190abe6dfb7c6a7fe6f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.