Triple

T9565734
Position Surface form Disambiguated ID Type / Status
Subject Karen Smith E230783 entity
Predicate friendOf P8712 FINISHED
Object Regina George E385798 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: Regina George | Statement: [Karen Smith, friendOf, Regina George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regina George
Context triple: [Karen Smith, friendOf, Regina George]
  • A. Regina George chosen
    Regina George is the manipulative and popular queen bee of her high school clique in the teen comedy film "Mean Girls."
  • B. Emma Wibberly
    Emma Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
  • C. Carrie Hope Fletcher
    Carrie Hope Fletcher is a British actress, singer, and author best known for her work in West End musicals and her popular online presence.
  • D. Regina Hicks
    Regina Hicks is an American television and film writer-producer known for her work on family-oriented comedies and projects for networks like Disney Channel and HBO.
  • E. Alice Spencer
    Alice Spencer was an English noblewoman and literary patron of the late 16th and early 17th centuries, noted for her influential connections at the Elizabethan and Jacobean courts.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996c0a1081908a8356c454e60f74 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.