Triple

T27782800
Position Surface form Disambiguated ID Type / Status
Subject Hill Valley Preservation Society E699377 entity
Predicate foundedBy P104 FINISHED
Object Ian Wheeler
Ian Wheeler is a preservation advocate best known as the founder of the Hill Valley Preservation Society, a fan organization dedicated to celebrating and preserving the legacy of the Back to the Future films.
E1790336 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: Ian Wheeler | Statement: [Hill Valley Preservation Society, foundedBy, Ian Wheeler]
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: Ian Wheeler
Triple: [Hill Valley Preservation Society, foundedBy, Ian Wheeler]
Generated description
Ian Wheeler is a preservation advocate best known as the founder of the Hill Valley Preservation Society, a fan organization dedicated to celebrating and preserving the legacy of the Back to the Future films.

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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637cf6d248190a86a85cfeba3719b completed May 2, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f71a49a08190937ddae55be2834c completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f7d3b7048190ae5778d0d22bfd77 completed May 24, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a12fb9650c08190a7ebdbf509b4176b completed May 24, 2026, 1:22 p.m.
Created at: April 27, 2026, 5:11 p.m.