Triple

T2129718
Position Surface form Disambiguated ID Type / Status
Subject Barely Lethal E46508 entity
Predicate starring P1507 FINISHED
Object Hailee Steinfeld E69618 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: Hailee Steinfeld | Statement: [Barely Lethal, starring, Hailee Steinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hailee Steinfeld
Context triple: [Barely Lethal, starring, Hailee Steinfeld]
  • A. Hailee Steinfeld chosen
    Hailee Steinfeld is an American actress and pop singer known for her Oscar-nominated role in "True Grit" and hit songs like "Love Myself" and "Starving."
  • B. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • C. Mckenna Grace
    Mckenna Grace is an American actress known for her roles in films and television series such as "Gifted," "The Haunting of Hill House," and "Ghostbusters: Afterlife."
  • D. Joey King
    Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
  • E. Jane Wyman
    Jane Wyman was an American actress and Academy Award winner best known for her film and television work in the mid-20th century.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a5d95881909b4b77c14f565e21 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.