Triple

T35325806
Position Surface form Disambiguated ID Type / Status
Subject Karena Evans E1020179 entity
Predicate notableWork P4 FINISHED
Object Mary Kills People (TV series, acting role)
Mary Kills People is a Canadian drama television series about an ER doctor who secretly assists terminally ill patients with euthanasia, exploring moral and legal dilemmas around assisted death.
E2135601 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: Mary Kills People (TV series, acting role) | Statement: [Karena Evans, notableWork, Mary Kills People (TV series, acting role)]
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: Mary Kills People (TV series, acting role)
Triple: [Karena Evans, notableWork, Mary Kills People (TV series, acting role)]
Generated description
Mary Kills People is a Canadian drama television series about an ER doctor who secretly assists terminally ill patients with euthanasia, exploring moral and legal dilemmas around assisted death.

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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7910bc08881909da7f200b115e235 completed May 3, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3819fc9db081908b7ce9a581eea887 completed June 21, 2026, 5:06 p.m.
NEDg Description generation batch_6a381abdebc88190bd05d6d4d9823bbf completed June 21, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a381b78cc2c8190adcfc95407d338e8 completed June 21, 2026, 5:12 p.m.
Created at: May 3, 2026, 4:03 p.m.