Triple

T28256221
Position Surface form Disambiguated ID Type / Status
Subject Barbara Piasecka Johnson E712452 entity
Predicate memberOf P10 FINISHED
Object Johnson family
The Johnson family is a prominent American dynasty best known for its leadership of the Johnson & Johnson healthcare empire and extensive philanthropic activities.
 E1830746 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: Johnson family | Statement: [Barbara Piasecka Johnson, memberOf, Johnson family]
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: Johnson family
Triple: [Barbara Piasecka Johnson, memberOf, Johnson family]
Generated description
The Johnson family is a prominent American dynasty best known for its leadership of the Johnson & Johnson healthcare empire and extensive philanthropic 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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643f4b1448190b5db963c0f041f9b completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf12592c81909fc7c6127a50ca7d completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1cd03986848190a322d5273d0164d0 completed June 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
Created at: April 27, 2026, 11:08 p.m.