Triple

T29199643
Position Surface form Disambiguated ID Type / Status
Subject Emma Corrin E740233 entity
Predicate notableWork P4 FINISHED
Object A Murder at the End of the World
A Murder at the End of the World is a mystery-thriller television miniseries that follows a young amateur sleuth and hacker who is invited to a remote, high-tech retreat where a murder forces her to uncover dark secrets among the elite guests.
E1855268 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: A Murder at the End of the World | Statement: [Emma Corrin, notableWork, A Murder at the End of the World]
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: A Murder at the End of the World
Triple: [Emma Corrin, notableWork, A Murder at the End of the World]
Generated description
A Murder at the End of the World is a mystery-thriller television miniseries that follows a young amateur sleuth and hacker who is invited to a remote, high-tech retreat where a murder forces her to uncover dark secrets among the elite guests.

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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c4c37481908462be4bbede5a2b completed May 2, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569b9f6088190ad1beb8a9e4eed49 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256f31adfc8190b5c86993112f300a completed June 7, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a256f98942081909d86856ade8b24be completed June 7, 2026, 1:18 p.m.
Created at: April 28, 2026, 12:06 p.m.