Triple

T8395253
Position Surface form Disambiguated ID Type / Status
Subject Elisa Esposito E198036 entity
Predicate creator P184 FINISHED
Object Vanessa Taylor E195697 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 Taylor | Statement: [Elisa Esposito, creator, Vanessa Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Taylor
Context triple: [Elisa Esposito, creator, Vanessa Taylor]
  • A. Vanessa Taylor chosen
    Vanessa Taylor is an American screenwriter and producer known for co-writing the Academy Award–winning film "The Shape of Water" and her work on television series such as "Game of Thrones."
  • B. 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.
  • C. Vanessa Howard
    Vanessa Howard was a British actress known for her roles in 1960s and 1970s horror and exploitation films, including "The Blood Beast Terror" and "Mumsy, Nanny, Sonny & Girly."
  • D. Vanessa Zima
    Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
  • E. Katina Taylor
    Katina Taylor is an American philanthropist and former television journalist, best known for her charitable work and as the wife of former NFL star Jason Taylor.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81874d6c8190bbc0ac832d8a339d completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde85ee7b08190bfbcbed0edb142dd completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:03 p.m.