Triple

T13811559
Position Surface form Disambiguated ID Type / Status
Subject Sabrina Guinness E331903 entity
Predicate name P16 FINISHED
Object Sabrina Guinness E331903 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: Sabrina Guinness | Statement: [Sabrina Guinness, name, Sabrina Guinness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabrina Guinness
Context triple: [Sabrina Guinness, name, Sabrina Guinness]
  • A. Sabrina Guinness chosen
    Sabrina Guinness is a British socialite and television producer from the prominent Guinness family, known for her high-profile connections in media and the arts.
  • B. Marisa Coughlan
    Marisa Coughlan is an American actress best known for her roles in films like "Teaching Mrs. Tingle" and the cult comedy "Super Troopers," as well as various television appearances.
  • C. Bridget Christie
    Bridget Christie is a British stand-up comedian, writer, and actress known for her sharp, often feminist-leaning comedy and acclaimed radio and television work.
  • D. Sabrina Lloyd
    Sabrina Lloyd is an American actress best known for her roles on the television series "Sports Night" and "Sliders."
  • E. Nina Blount
    Nina Blount is a glamorous, naive young socialite navigating the excesses and emotional upheavals of 1930s high society in the film "Bright Young Things."
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026ff6b481908066d6bf27064417 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e6d5cc819087ccdbfc00f16542 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.