Triple

T24487362
Position Surface form Disambiguated ID Type / Status
Subject Henry B. Eyring E617545 entity
Predicate spouse P13 FINISHED
Object Kathleen Johnson Eyring
Kathleen Johnson Eyring is the wife of Henry B. Eyring, a prominent leader in the Church of Jesus Christ of Latter-day Saints, and is known for her supportive role in his religious and educational service.
E1638658 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: Kathleen Johnson Eyring | Statement: [Henry B. Eyring, spouse, Kathleen Johnson Eyring]
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: Kathleen Johnson Eyring
Triple: [Henry B. Eyring, spouse, Kathleen Johnson Eyring]
Generated description
Kathleen Johnson Eyring is the wife of Henry B. Eyring, a prominent leader in the Church of Jesus Christ of Latter-day Saints, and is known for her supportive role in his religious and educational service.

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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a6dcd20881908963a46da3420133 completed April 30, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee7edf5c8190b271800a3da314aa completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef6feb088190870b41df1edb338e completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff08d9fac81909ea8af6e6b10102a completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:22 a.m.