Triple

T32895220
Position Surface form Disambiguated ID Type / Status
Subject Perron family haunting E841450 entity
Predicate relatedPlace P3158 FINISHED
Object Old Arnold Estate
Old Arnold Estate is a historic Rhode Island farmhouse infamous as the allegedly haunted setting of the Perron family’s experiences that inspired “The Conjuring.”
 E2028390 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: Old Arnold Estate | Statement: [Perron family haunting, relatedPlace, Old Arnold Estate]
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: Old Arnold Estate
Triple: [Perron family haunting, relatedPlace, Old Arnold Estate]
Generated description
Old Arnold Estate is a historic Rhode Island farmhouse infamous as the allegedly haunted setting of the Perron family’s experiences that inspired “The Conjuring.”

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_69f34945ae408190b72d8118c83beb77 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0715ff88190a3e029ee49050756 completed May 3, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c68c4ea48190a60d77b49cb529ab completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c84409a88190a8eaaf78b0fa0666 completed June 19, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_6a34c9336fc4819092f2682493a94cfe completed June 19, 2026, 4:44 a.m.
Created at: May 1, 2026, 1:18 a.m.