Triple

T29346220
Position Surface form Disambiguated ID Type / Status
Subject Voyeur E744178 entity
Predicate isAbout P380 FINISHED
Object The Voyeur’s Motel article in The New Yorker
The Voyeur’s Motel article in The New Yorker is a long-form investigative piece by Gay Talese that recounts a Colorado motel owner’s decades-long secret surveillance of his guests and the ethical controversies surrounding its reporting.
E1862023 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 Voyeur’s Motel article in The New Yorker | Statement: [Voyeur, isAbout, The Voyeur’s Motel article in The New Yorker]
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 Voyeur’s Motel article in The New Yorker
Triple: [Voyeur, isAbout, The Voyeur’s Motel article in The New Yorker]
Generated description
The Voyeur’s Motel article in The New Yorker is a long-form investigative piece by Gay Talese that recounts a Colorado motel owner’s decades-long secret surveillance of his guests and the ethical controversies surrounding its reporting.

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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66957a1f0819094c1be1055b97f47 completed May 2, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a885a8e48190939cdd6f2f169493 completed June 7, 2026, 5:21 p.m.
NEDg Description generation batch_6a25acba229481909ebfd421341c3201 completed June 7, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a25b146e9d0819086b956ae8ea30aab completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 2:02 p.m.