Triple

T29708557
Position Surface form Disambiguated ID Type / Status
Subject Ferry Porsche E751709 entity
Predicate relative P37 FINISHED
Object Porsche family
The Porsche family is a prominent German industrial dynasty known for founding and controlling the luxury sports car manufacturer Porsche AG and exerting significant influence over the Volkswagen Group.
 E1878029 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: Porsche family | Statement: [Ferry Porsche, relative, Porsche 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: Porsche family
Triple: [Ferry Porsche, relative, Porsche family]
Generated description
The Porsche family is a prominent German industrial dynasty known for founding and controlling the luxury sports car manufacturer Porsche AG and exerting significant influence over the Volkswagen Group.

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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672d7511c8190b10daa0435111785 completed May 2, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267ed99a14819080979463292c26fd completed June 8, 2026, 8:35 a.m.
NEDg Description generation batch_6a267efa9ac481909e1076930363fa6b completed June 8, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_6a267f2166f4819084ee08a449e1246a completed June 8, 2026, 8:36 a.m.
Created at: April 28, 2026, 7:29 p.m.