Triple

T25308593
Position Surface form Disambiguated ID Type / Status
Subject John Martin Couric Jr. E634546 entity
Predicate notableRelative P367 FINISHED
Object Emily Couric
Emily Couric was an American politician and Virginia state senator known for her work on education and healthcare reform and as the sister of journalist Katie Couric.
E1723475 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: Emily Couric | Statement: [John Martin Couric Jr., notableRelative, Emily Couric]
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: Emily Couric
Triple: [John Martin Couric Jr., notableRelative, Emily Couric]
Generated description
Emily Couric was an American politician and Virginia state senator known for her work on education and healthcare reform and as the sister of journalist Katie Couric.

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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4939c49a48190b9fdc2555273915e completed May 1, 2026, 11:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae897e64819091f6813221e77860 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af2076908190b275c87caa60bb7c completed May 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a11afbb49c48190a2640fa6e8186fd8 completed May 23, 2026, 1:46 p.m.
Created at: April 21, 2026, 1:25 p.m.