Triple

T36070458
Position Surface form Disambiguated ID Type / Status
Subject Cleopatra Bernard E1043348 entity
Predicate associatedWith P37 FINISHED
Object XXXTentacion Foundation
The XXXTentacion Foundation is a charitable organization established to honor the late rapper XXXTentacion’s legacy by supporting community, youth, and humanitarian initiatives.
E2168285 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: XXXTentacion Foundation | Statement: [Cleopatra Bernard, associatedWith, XXXTentacion Foundation]
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: XXXTentacion Foundation
Triple: [Cleopatra Bernard, associatedWith, XXXTentacion Foundation]
Generated description
The XXXTentacion Foundation is a charitable organization established to honor the late rapper XXXTentacion’s legacy by supporting community, youth, and humanitarian initiatives.

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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b21c9930819098d58aa5300d4beb completed May 3, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d5388e1c81908d41b269d8dd2961 completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d5d386b08190a918dfb8dc7d18e5 completed June 22, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a38d681cf388190896a30e2b0939181 completed June 22, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:08 p.m.