Triple

T23481850
Position Surface form Disambiguated ID Type / Status
Subject Something to Tide You Over E570425 entity
Predicate character P662 FINISHED
Object Richard Vickers
Richard Vickers is a vengeful, wealthy husband from Stephen King’s “Creepshow” segment “Something to Tide You Over,” known for burying his wife and her lover up to their necks on a beach to drown with the incoming tide.
E1615962 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: Richard Vickers | Statement: [Something to Tide You Over, character, Richard Vickers]
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: Richard Vickers
Triple: [Something to Tide You Over, character, Richard Vickers]
Generated description
Richard Vickers is a vengeful, wealthy husband from Stephen King’s “Creepshow” segment “Something to Tide You Over,” known for burying his wife and her lover up to their necks on a beach to drown with the incoming tide.

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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a75118048190b4af687906c4e747 completed April 29, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f961f79bc81909da33922b038452f completed May 21, 2026, 11:32 p.m.
NEDg Description generation batch_6a0f974fb2e08190a535a92ead622159 completed May 21, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_6a0f9817d9248190aa2f7cc8fc2916bf completed May 21, 2026, 11:41 p.m.
Created at: April 17, 2026, 6:03 p.m.