Triple

T15681207
Position Surface form Disambiguated ID Type / Status
Subject Ray Stantz E377580 entity
Predicate fullName P16 FINISHED
Object Raymond Stantz E377580 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: Raymond Stantz | Statement: [Ray Stantz, fullName, Raymond Stantz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Stantz
Context triple: [Ray Stantz, fullName, Raymond Stantz]
  • A. Ray Stantz chosen
    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.
  • B. Dr. Samuel Loomis
    Dr. Samuel Loomis is a fictional psychiatrist and determined nemesis of the killer Michael Myers in the Halloween horror film franchise.
  • C. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • D. Dr. Egon Spengler
    Dr. Egon Spengler is the bespectacled, scientifically minded Ghostbuster and paranormal researcher from the "Ghostbusters" film franchise.
  • E. Ben Mears
    Ben Mears is a novelist and the protagonist of Stephen King’s horror novel "Salem’s Lot," who returns to his childhood town only to confront a spreading vampire infestation.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756da91c81908d73a081f51edebd completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:16 a.m.