Triple

T35733668
Position Surface form Disambiguated ID Type / Status
Subject Schaefer E1032826 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Schaefer
Paul Schaefer is a name shared by several notable individuals, including a German-born Chilean cult leader and a prominent American environmentalist and conservationist.
E2250362 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: Paul Schaefer | Statement: [Schaefer, hasNotableBearer, Paul Schaefer]
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: Paul Schaefer
Triple: [Schaefer, hasNotableBearer, Paul Schaefer]
Generated description
Paul Schaefer is a name shared by several notable individuals, including a German-born Chilean cult leader and a prominent American environmentalist and conservationist.

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1643cf08190a33a62db90352600 completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4117cdb70c8190b8e83f42e26845e0 completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a4118db6bfc8190827969ae9f6ca62b completed June 28, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_6a412489986c8190b86728ae7f1d1c06 completed June 28, 2026, 1:41 p.m.
Created at: May 3, 2026, 4:05 p.m.