Triple

T14001706
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Ferlito E336840 entity
Predicate name P16 FINISHED
Object Vanessa Ferlito E336840 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 Ferlito | Statement: [Vanessa Ferlito, name, Vanessa Ferlito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Ferlito
Context triple: [Vanessa Ferlito, name, Vanessa Ferlito]
  • A. Vanessa Ferlito chosen
    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."
  • B. Vanessa DiBernardo
    Vanessa DiBernardo is an American professional soccer midfielder known for her playmaking ability in the National Women's Soccer League and her standout collegiate career at the University of Illinois.
  • C. 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.
  • D. Vanessa Minnillo
    Vanessa Minnillo is an American television host, actress, and former beauty queen best known for her work on MTV and various entertainment programs.
  • E. Vanessa Loring
    Vanessa Loring is a key supporting character in the film "Juno," portrayed as a woman longing to adopt a child and struggling with the complexities of marriage and motherhood.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:19 p.m.