Triple

T5547424
Position Surface form Disambiguated ID Type / Status
Subject Mary Ellen Trainor E145441 entity
Predicate notableWork P4 FINISHED
Object Tales from the Crypt E354113 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: Tales from the Crypt | Statement: [Mary Ellen Trainor, notableWork, Tales from the Crypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tales from the Crypt
Context triple: [Mary Ellen Trainor, notableWork, Tales from the Crypt]
  • A. Tales from the Crypt chosen
    Tales from the Crypt is a popular horror anthology television series known for its darkly comedic, gruesome stories introduced by the iconic Crypt Keeper.
  • B. Murder House
    Murder House is the haunted Los Angeles mansion that serves as the central setting of the first season of the horror anthology series American Horror Story.
  • C. The Charnel House
    The Charnel House is a 1945 painting by Pablo Picasso that depicts a twisted, skeletal pile of bodies as a powerful condemnation of war and human atrocity.
  • D. Elvira’s Haunted Hills
    Elvira’s Haunted Hills is a campy 2001 horror-comedy film starring Cassandra Peterson as Elvira, parodying classic gothic and Hammer-style horror movies.
  • E. The Phantom Creeps
    The Phantom Creeps is a 1939 science-fiction movie serial featuring Bela Lugosi as a mad scientist who unleashes deadly inventions in a bid for world domination.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282ace308190a714685579f2a789 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.