Triple

T32746161
Position Surface form Disambiguated ID Type / Status
Subject Happy Hairston E837358 entity
Predicate hasRelative P367 FINISHED
Object Sam Hairston
Sam Hairston was an American professional baseball catcher and coach who played in the Negro Leagues and Major League Baseball and became the patriarch of a multi-generational baseball family.
E2048700 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: Sam Hairston | Statement: [Happy Hairston, hasRelative, Sam Hairston]
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: Sam Hairston
Triple: [Happy Hairston, hasRelative, Sam Hairston]
Generated description
Sam Hairston was an American professional baseball catcher and coach who played in the Negro Leagues and Major League Baseball and became the patriarch of a multi-generational baseball family.

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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cc1ed91481909c33631db9239b02 completed May 3, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576c98c0c81909ec8bcdabe6ece38 completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a35776bbb3c8190bda2a14ef5abdaf8 completed June 19, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a3577e82568819091390ca6df3cf66e completed June 19, 2026, 5:10 p.m.
Created at: May 1, 2026, 1:12 a.m.