Triple

T14536838
Position Surface form Disambiguated ID Type / Status
Subject Fiona E341065 entity
Predicate createdBy P806 FINISHED
Object Vicky Jenson E882752 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: Vicky Jenson | Statement: [Fiona, createdBy, Vicky Jenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicky Jenson
Context triple: [Fiona, createdBy, Vicky Jenson]
  • A. Vicky Jenson chosen
    Vicky Jenson is an American film director best known for co-directing the hit animated feature "Shrek" and other major studio animated films.
  • B. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • C. Karen Jenson
    Karen Jenson is a hematologist who becomes an ally to the vampire hunter Blade after being attacked and partially turned by a vampire in the 1998 film.
  • D. Vicky Cornell
    Vicky Cornell is an American public figure and philanthropist best known as the widow of Soundgarden and Audioslave frontman Chris Cornell and for her work preserving his legacy and supporting charitable causes.
  • E. Julie Gillis
    Julie Gillis is the charming, commitment-wary nightclub agent at the center of the 1955 romantic comedy film "The Tender Trap," whose bachelor lifestyle is upended by unexpected love.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5ae04881909e7eb766fca33066 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.