Triple

T7288344
Position Surface form Disambiguated ID Type / Status
Subject Insidious: Chapter 2 E163930 entity
Predicate starredActor P5563 FINISHED
Object Lin Shaye E377409 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: Lin Shaye | Statement: [Insidious: Chapter 2, starredActor, Lin Shaye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lin Shaye
Context triple: [Insidious: Chapter 2, starredActor, Lin Shaye]
  • A. Lin Shaye chosen
    Lin Shaye is an American character actress best known for her prolific work in horror films, particularly the "Insidious" franchise, as well as numerous comedic roles.
  • B. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • C. John Hannah
    John Hannah is a Scottish actor best known for his roles in films such as "Four Weddings and a Funeral" and "The Mummy" series, as well as numerous British television dramas.
  • D. Michael Cerveris
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • E. Jonathan Hyde
    Jonathan Hyde is an English-Australian actor known for his roles in films like "Titanic," "Jumanji," and "The Mummy," as well as extensive work in television, theatre, and voice acting.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.