Triple

T21419030
Position Surface form Disambiguated ID Type / Status
Subject Halloween 4: The Return of Michael Myers E528381 entity
Predicate characterPortrayed P1507 FINISHED
Object Danielle Harris as Jamie Lloyd 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: Danielle Harris as Jamie Lloyd | Statement: [Halloween 4: The Return of Michael Myers, characterPortrayed, Danielle Harris as Jamie Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle Harris as Jamie Lloyd
Context triple: [Halloween 4: The Return of Michael Myers, characterPortrayed, Danielle Harris as Jamie Lloyd]
  • A. Danielle Harris chosen
    Danielle Harris is an American actress best known for her prominent roles in horror films, particularly the Halloween franchise and other genre favorites.
  • B. Danielle Dyce
    Danielle Dyce is the individual who operates under the superhero alias Red Raven.
  • C. Lauren Lloyd
    Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
  • D. Josie Lloyd
    Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
  • E. Hannah Wilkinson
    Hannah Wilkinson was the wife of early American industrialist Samuel Slater and is noted for her role in supporting and participating in the development of the U.S. textile industry.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2ccddc08190b4f66fa6ccda41e2 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:47 p.m.