Triple

T10996940
Position Surface form Disambiguated ID Type / Status
Subject Troy Garity E259897 entity
Predicate sibling P363 FINISHED
Object Vanessa Vadim E678157 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: Vanessa Vadim | Statement: [Troy Garity, sibling, Vanessa Vadim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Vadim
Context triple: [Troy Garity, sibling, Vanessa Vadim]
  • A. Vanessa Vadim chosen
    Vanessa Vadim is a French-American filmmaker and environmental activist, best known as the daughter of actress Jane Fonda and director Roger Vadim.
  • B. Vanessa Zima
    Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
  • C. Vanessa Ferlito
    Vanessa Ferlito is an American actress known for her roles in films like "Death Proof" and TV series such as "CSI: NY" and "NCIS: New Orleans."
  • D. Irina Malandina
    Irina Malandina is a former Russian flight attendant best known as the ex-wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • E. Vanessa Palazzo
    Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3452420c08190b9c91a9c8a807670 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.