Triple

T23999167
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Epstein E594193 entity
Predicate owned P347 FINISHED
Object Zorro Ranch, New Mexico
Zorro Ranch, New Mexico is a large, secluded estate in Santa Fe County that became infamous as one of financier Jeffrey Epstein’s primary properties associated with his alleged criminal activities.
E1614742 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: Zorro Ranch, New Mexico | Statement: [Jeffrey Epstein, owned, Zorro Ranch, New Mexico]
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: Zorro Ranch, New Mexico
Triple: [Jeffrey Epstein, owned, Zorro Ranch, New Mexico]
Generated description
Zorro Ranch, New Mexico is a large, secluded estate in Santa Fe County that became infamous as one of financier Jeffrey Epstein’s primary properties associated with his alleged criminal activities.

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_69e288b9ecf08190b8c94a278f5674fe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d460b07881908ad11c03890ec1de completed April 29, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e94b6a0819093dae0a2fbb60dac completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4da3048190af7ef06dcec0a651 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f801bcc9c81908bbb270d7e762c11 completed May 21, 2026, 9:58 p.m.
Created at: April 17, 2026, 9:39 p.m.