Triple

T16229098
Position Surface form Disambiguated ID Type / Status
Subject Halloween (2007 film) E393931 entity
Predicate character P662 FINISHED
Object Dr. Samuel Loomis E896834 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: Dr. Samuel Loomis | Statement: [Halloween (2007 film), character, Dr. Samuel Loomis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Samuel Loomis
Context triple: [Halloween (2007 film), character, Dr. Samuel Loomis]
  • A. Dr. Samuel Loomis chosen
    Dr. Samuel Loomis is a fictional psychiatrist and determined nemesis of the killer Michael Myers in the Halloween horror film franchise.
  • B. Sam Loomis
    Sam Loomis is a central character in Alfred Hitchcock's classic horror film "Psycho," known as Marion Crane's boyfriend who becomes involved in investigating her disappearance.
  • C. Ray Stantz
    Ray Stantz is a passionate, good-natured paranormal investigator and founding member of the Ghostbusters team, known for his childlike enthusiasm and deep knowledge of the supernatural.
  • D. Silas Laurence Loomis
    Silas Laurence Loomis was a 19th-century American physician, inventor, and educator known for his contributions to medical science and technological innovation.
  • E. Egon Brain
    Egon Brain is a music producer known for creating and shaping recorded tracks, likely within contemporary electronic or pop genres.
  • 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.