Triple

T550841
Position Surface form Disambiguated ID Type / Status
Subject From Dusk Till Dawn E11835 entity
Predicate starring P1507 FINISHED
Object Salma Hayek E69078 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: Salma Hayek | Statement: [From Dusk Till Dawn, starring, Salma Hayek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salma Hayek
Context triple: [From Dusk Till Dawn, starring, Salma Hayek]
  • A. Salma Hayek chosen
    Salma Hayek is a Mexican-American actress and producer renowned for her breakthrough roles in 1990s action and drama films and her Academy Award–nominated performance in "Frida."
  • B. Charlize Theron
    Charlize Theron is an Academy Award–winning South African–American actress and producer known for her versatile performances in films such as "Monster," "Mad Max: Fury Road," and "Atomic Blonde."
  • C. Angelina Jolie
    Angelina Jolie is an American actress, filmmaker, and humanitarian renowned for her acclaimed performances in films such as "Girl, Interrupted" and "Maleficent," as well as her extensive global advocacy work.
  • D. Marisa del Toro
    Marisa del Toro is one of the children of acclaimed Mexican filmmaker Guillermo del Toro.
  • E. Sanaa Lathan
    Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e632e7c48190b211f7fcc4903dea completed March 2, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:32 p.m.