Triple

T10467011
Position Surface form Disambiguated ID Type / Status
Subject The Upside E246823 entity
Predicate castMember P1668 FINISHED
Object Genevieve Angelson E475760 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: Genevieve Angelson | Statement: [The Upside, castMember, Genevieve Angelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genevieve Angelson
Context triple: [The Upside, castMember, Genevieve Angelson]
  • A. Genevieve Angelson chosen
    Genevieve Angelson is an American actress known for her television roles in series such as "Good Girls Revolt," "House of Lies," and "Flack."
  • B. Genevieve Hughes
    Genevieve Hughes is known primarily as the sister of American Olympic figure skating champion Sarah Hughes.
  • C. Angela Martin
    Angela Martin is a tightly wound, judgmental, and cat-obsessed accountant on the U.S. version of *The Office*, known for her strict moralism and tumultuous office romances.
  • D. Glena Goranson
    Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
  • E. Angela Barnes
    Angela Barnes is a British stand-up comedian and radio presenter known for her sharp, politically savvy comedy and regular appearances on BBC Radio 4.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69e154529dd08190abbfc8d8281a642f completed April 16, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:19 p.m.