Triple

T16229092
Position Surface form Disambiguated ID Type / Status
Subject Halloween (2007 film) E393931 entity
Predicate stars P1956 FINISHED
Object Tyler Mane E896831 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: Tyler Mane | Statement: [Halloween (2007 film), stars, Tyler Mane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Mane
Context triple: [Halloween (2007 film), stars, Tyler Mane]
  • A. Tyler Mane chosen
    Tyler Mane is a Canadian actor and former professional wrestler best known for playing imposing characters in films, including the iconic horror villain Michael Myers in Rob Zombie’s Halloween remakes.
  • B. Ryan Carniato
    Ryan Carniato is a software engineer and open-source developer best known as the creator and lead maintainer of the SolidJS JavaScript framework.
  • C. Andrew Paxton
    Andrew Paxton is the earnest and ambitious assistant-turned-love-interest played by Ryan Reynolds in the romantic comedy film "The Proposal."
  • D. Trey Mancini
    Trey Mancini is an American professional baseball first baseman and outfielder known for his power hitting in Major League Baseball and his inspirational return to the field after battling colon cancer.
  • E. Mark Texeira
    Mark Texeira is an American comic book artist known for his dynamic, painterly style on titles such as Ghost Rider, Black Panther, and various Marvel and DC series.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.