Triple

T20622999
Position Surface form Disambiguated ID Type / Status
Subject Project 1950 E506747 entity
Predicate hasPart P35 FINISHED
Object Monster Mash 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: Monster Mash | Statement: [Project 1950, hasPart, Monster Mash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster Mash
Context triple: [Project 1950, hasPart, Monster Mash]
  • A. Monster Mash
    Monster Mash is the nickname of former NBA All-Star forward Jamal Mashburn, known for his prolific scoring and powerful playing style in the 1990s and early 2000s.
  • B. Monster Mash chosen
    Monster Mash is a 1995 American horror-comedy film co-written by Joel Cohen, loosely based on the classic novelty song of the same name.
  • C. Hallowe'en Party
    Hallowe'en Party is a detective novel by Agatha Christie featuring Hercule Poirot investigating a murder that occurs during a children's Halloween celebration.
  • D. Monster Mansion
    Monster Mansion is the notorious high-security Wakefield Prison in West Yorkshire, England, known for housing some of the UK’s most dangerous and infamous criminals.
  • E. Funny the Funhouse
    Funny the Funhouse is a magical, talking playhouse character that serves as the central setting and guide for Mickey and his friends in the animated preschool series "Mickey Mouse Funhouse."
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe3177c8190ad1b2ca8b1e0a560 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.