Triple

T12958758
Position Surface form Disambiguated ID Type / Status
Subject The Resident E310082 entity
Predicate starring P1507 FINISHED
Object Jessica Lucas E434027 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: Jessica Lucas | Statement: [The Resident, starring, Jessica Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Lucas
Context triple: [The Resident, starring, Jessica Lucas]
  • A. Jessica Lucas chosen
    Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
  • B. Lilly McDowell
    Lilly McDowell is an American actress known for roles in film and television and as the daughter of actors Mary Steenburgen and Malcolm McDowell.
  • C. Taylor Russell
    Taylor Russell is a Canadian actress best known for her breakout role in the Netflix sci-fi series "Lost in Space" and acclaimed performances in films such as "Waves" and "Bones and All."
  • D. Mia Kirshner
    Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
  • E. Lulu Wilson
    Lulu Wilson is an American actress known for her roles in horror and thriller films and television series, including notable performances in projects like "Ouija: Origin of Evil" and "Annabelle: Creation."
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f2cc588190bb771f999cd5fd46 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:44 p.m.