Triple

T2351454
Position Surface form Disambiguated ID Type / Status
Subject Hawkeye (TV series) E47456 entity
Predicate castMember P1668 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: [Hawkeye (TV series), castMember, Hailee Steinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hailee Steinfeld
Context triple: [Hawkeye (TV series), castMember, 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. Rain Phoenix
    Rain Phoenix is an American actress, musician, and singer-songwriter known for her work in film and television as well as for co-founding the band Papercranes.
  • E. 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.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962f769881909a7713880eaa9b84 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.