Triple

T35402334
Position Surface form Disambiguated ID Type / Status
Subject Joey Gase E1023267 entity
Predicate mother P120 FINISHED
Object Mary Gase
Mary Gase is best known as the mother of American professional stock car racing driver Joey Gase.
 E2154818 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 Gase | Statement: [Joey Gase, mother, Mary Gase]
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 Gase
Triple: [Joey Gase, mother, Mary Gase]
Generated description
Mary Gase is best known as the mother of American professional stock car racing driver Joey Gase.

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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7953c42c4819084cd4eb62b733c2c completed May 3, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885d84498819085bb648c4f1333ff completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38873747ec8190a68e7f9d69c33de1 completed June 22, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3887ae2a908190a0a6f2e167dd124e completed June 22, 2026, 12:54 a.m.
Created at: May 3, 2026, 4:03 p.m.