Triple

T20802675
Position Surface form Disambiguated ID Type / Status
Subject Daniel Sidney Warner E512077 entity
Predicate deathPlace P21 FINISHED
Object Grand Junction, Michigan
Grand Junction, Michigan is a small rural community in Van Buren County known historically as the place where Church of God pioneer Daniel Sidney Warner died.
E2026329 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: Grand Junction, Michigan | Statement: [Daniel Sidney Warner, deathPlace, Grand Junction, Michigan]
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: Grand Junction, Michigan
Triple: [Daniel Sidney Warner, deathPlace, Grand Junction, Michigan]
Generated description
Grand Junction, Michigan is a small rural community in Van Buren County known historically as the place where Church of God pioneer Daniel Sidney Warner died.

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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b207c48190a9ca5895bdf85245 completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcc9386081909ca60354943f9fab completed June 19, 2026, 3:51 a.m.
NEDg Description generation batch_6a34bf0c10fc8190984532e2cfdbe4af completed June 19, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34bfc147708190bc07234245da06d5 completed June 19, 2026, 4:04 a.m.
Created at: April 16, 2026, 12:39 p.m.