Triple

T24465407
Position Surface form Disambiguated ID Type / Status
Subject Alice Faye Williams E616953 entity
Predicate alsoKnownAs P39 FINISHED
Object Afeni Shakur-Davis
Afeni Shakur-Davis was an American political activist, former Black Panther, and the mother of rapper Tupac Shakur, known for her work in social justice and managing her son's legacy.
E1634093 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: Afeni Shakur-Davis | Statement: [Alice Faye Williams, alsoKnownAs, Afeni Shakur-Davis]
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: Afeni Shakur-Davis
Triple: [Alice Faye Williams, alsoKnownAs, Afeni Shakur-Davis]
Generated description
Afeni Shakur-Davis was an American political activist, former Black Panther, and the mother of rapper Tupac Shakur, known for her work in social justice and managing her son's legacy.

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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f298cd2a748190bbb4634e879d89f2 completed April 29, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe38e7d9881909468f8346c8e6a0c completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe4fa99d08190865417c3f1b8fc87 completed May 22, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe5a95980819088def500632e5a4c completed May 22, 2026, 5:12 a.m.
Created at: April 18, 2026, 2:19 a.m.