Triple

T32460277
Position Surface form Disambiguated ID Type / Status
Subject A'Lelia Bundles E829550 entity
Predicate name P16 FINISHED
Object A'Lelia Bundles
A'Lelia Bundles is an American author, journalist, and biographer best known for her work chronicling the life and legacy of her great-great-grandmother, entrepreneur and philanthropist Madam C.J. Walker.
 E2024721 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: A'Lelia Bundles | Statement: [A'Lelia Bundles, name, A'Lelia Bundles]
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: A'Lelia Bundles
Triple: [A'Lelia Bundles, name, A'Lelia Bundles]
Generated description
A'Lelia Bundles is an American author, journalist, and biographer best known for her work chronicling the life and legacy of her great-great-grandmother, entrepreneur and philanthropist Madam C.J. Walker.

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_69f3491df9288190afc0b23b1d6e72ce completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c3219a4481909ebcc338d4bd9e7a completed May 3, 2026, 3:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcd49c3881909bb643aa1d000dbc completed June 19, 2026, 3:51 a.m.
NEDg Description generation batch_6a34bd6286888190bd2ca92ea0844ba7 completed June 19, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_6a34bddfc3f0819092aa1782641bd84d completed June 19, 2026, 3:56 a.m.
Created at: May 1, 2026, 12:57 a.m.