Triple

T14552319
Position Surface form Disambiguated ID Type / Status
Subject Her Smell E341448 entity
Predicate castMember P1668 FINISHED
Object Agyness Deyn E183665 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: Agyness Deyn | Statement: [Her Smell, castMember, Agyness Deyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agyness Deyn
Context triple: [Her Smell, castMember, Agyness Deyn]
  • A. Agyness Deyn chosen
    Agyness Deyn is an English model and actress known for her distinctive androgynous look and prominence in the fashion industry during the 2000s.
  • B. Fanny Hayes
    Fanny Hayes was the daughter of U.S. President Rutherford B. Hayes and First Lady Lucy Webb Hayes, who grew up in the White House during her father's administration.
  • C. Fanny Hayes
    Fanny Hayes was the mother of pioneering African American lyric tenor and composer Roland Hayes, who became one of the first internationally acclaimed Black concert artists.
  • D. Vivien
    Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
  • E. Daphne Keen
    Daphne Keen is a British-Spanish actress best known for her breakout role as Laura/X-23 in the film "Logan" and as Lyra Belacqua in the television series "His Dark Materials."
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.