Triple

T27034268
Position Surface form Disambiguated ID Type / Status
Subject Bill McKechnie E681009 entity
Predicate fullName P16 FINISHED
Object William Boyd McKechnie
William Boyd McKechnie was a Hall of Fame Major League Baseball manager renowned for leading multiple teams to World Series titles in the early 20th century.
 E1757835 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: William Boyd McKechnie | Statement: [Bill McKechnie, fullName, William Boyd McKechnie]
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: William Boyd McKechnie
Triple: [Bill McKechnie, fullName, William Boyd McKechnie]
Generated description
William Boyd McKechnie was a Hall of Fame Major League Baseball manager renowned for leading multiple teams to World Series titles in the early 20th century.

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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62266b8b48190a050b4953753e5a7 completed May 2, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247f359108190b48a467fc08db304 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249e0bae48190b1ccf396b459793f completed May 24, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a124ab7e38c8190a1b7157d53c3d858 completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 7:15 a.m.