Triple

T28208156
Position Surface form Disambiguated ID Type / Status
Subject Tales from the Crypt (1972 film) E717085 entity
Predicate followedBy P78 FINISHED
Object The Vault of Horror (1973 film)
The Vault of Horror (1973 film) is a British anthology horror movie from Amicus Productions, adapting several macabre stories from EC Comics in a series of interconnected tales.
E1809109 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: The Vault of Horror (1973 film) | Statement: [Tales from the Crypt (1972 film), followedBy, The Vault of Horror (1973 film)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Vault of Horror (1973 film)
Triple: [Tales from the Crypt (1972 film), followedBy, The Vault of Horror (1973 film)]
Generated description
The Vault of Horror (1973 film) is a British anthology horror movie from Amicus Productions, adapting several macabre stories from EC Comics in a series of interconnected tales.

Provenance (5 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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6430fdf488190b01ad19531e96991 completed May 2, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6bc1c808190adf2143e8d701949 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15eea5fa5c81909fb1262d53e68298 completed May 26, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_6a15ef172c9c8190a7c8c9053b8604fb completed May 26, 2026, 7:05 p.m.
Created at: April 27, 2026, 10:36 p.m.