Triple

T22840661
Position Surface form Disambiguated ID Type / Status
Subject The Staircase E566068 entity
Predicate portrays P264 FINISHED
Object Caitlin Atwater
Caitlin Atwater is the real-life daughter of Kathleen Peterson, whose death is at the center of the Michael Peterson murder case depicted in the true-crime documentary series "The Staircase."
E1635982 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: Caitlin Atwater | Statement: [The Staircase, portrays, Caitlin Atwater]
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: Caitlin Atwater
Triple: [The Staircase, portrays, Caitlin Atwater]
Generated description
Caitlin Atwater is the real-life daughter of Kathleen Peterson, whose death is at the center of the Michael Peterson murder case depicted in the true-crime documentary series "The Staircase."

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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe32a973481908e9297b36f764aa3 completed May 22, 2026, 5:01 a.m.
NEDg Description generation batch_6a0fe740419481908c160ac1787e769a completed May 22, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe7a50e44819087fe4d62bae72ec0 completed May 22, 2026, 5:20 a.m.
Created at: April 17, 2026, 3:35 p.m.