Triple

T22741686
Position Surface form Disambiguated ID Type / Status
Subject Homefront E562429 entity
Predicate mainCastMember P5563 FINISHED
Object Jessica Steen NE NERFINISHED

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: Jessica Steen | Statement: [Homefront, mainCastMember, Jessica Steen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Steen
Context triple: [Homefront, mainCastMember, Jessica Steen]
  • A. Jessica Steen chosen
    Jessica Steen is a Canadian actress known for her work in science fiction and drama television series and films, including roles in productions like "Armageddon," "Earth 2," and "NCIS."
  • B. Kirsten Lees
    Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
  • C. Kirsten Smith
    Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
  • D. Kirsten Blakley
    Kirsten Blakley is a British individual known primarily as the sister of actress Claudie Blakley.
  • E. Kristen Scott
    Kristen Scott is a reality television personality best known for appearing as a cast member on the VH1 series "Basketball Wives."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797400fc8190bec26726f434f787 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.