Triple

T30899076
Position Surface form Disambiguated ID Type / Status
Subject Matthew Garrison Chapman E787108 entity
Predicate grandmother P3524 FINISHED
Object Mary Ann Chapman
Mary Ann Chapman is the grandmother of Matthew Garrison Chapman, a member of the Chapman family connected to musician Gary Chapman and singer Amy Grant.
 E1936096 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: Mary Ann Chapman | Statement: [Matthew Garrison Chapman, grandmother, Mary Ann Chapman]
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: Mary Ann Chapman
Triple: [Matthew Garrison Chapman, grandmother, Mary Ann Chapman]
Generated description
Mary Ann Chapman is the grandmother of Matthew Garrison Chapman, a member of the Chapman family connected to musician Gary Chapman and singer Amy Grant.

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_69f224bcbcb48190836df847424e4057 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6923d7438819088dfc308d1e22fd0 completed May 3, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7ed92ec8190b28cc5a013bf856d completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28cba432dc8190b68853a3a4dc7892 completed June 10, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a28cc7003c081908373122f59284b68 completed June 10, 2026, 2:31 a.m.
Created at: April 29, 2026, 8:50 p.m.