Triple

T29093565
Position Surface form Disambiguated ID Type / Status
Subject John S. D. Eisenhower E734926 entity
Predicate fullName P16 FINISHED
Object John Sheldon Doud Eisenhower
John Sheldon Doud Eisenhower was an American army officer, diplomat, and military historian, and the son of President Dwight D. Eisenhower.
E1853333 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: John Sheldon Doud Eisenhower | Statement: [John S. D. Eisenhower, fullName, John Sheldon Doud Eisenhower]
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: John Sheldon Doud Eisenhower
Triple: [John S. D. Eisenhower, fullName, John Sheldon Doud Eisenhower]
Generated description
John Sheldon Doud Eisenhower was an American army officer, diplomat, and military historian, and the son of President Dwight D. Eisenhower.

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_69f05b0ed66481908f2e864fa550d2f1 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6617f43748190b4880e1da320cdaa completed May 2, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25504e647081908c1aa95f5bb5a450 completed June 7, 2026, 11:04 a.m.
NEDg Description generation batch_6a25547c1cb881909b0a85b2bb6d61f1 completed June 7, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a2558d26f808190b01d391c806b780d completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:07 a.m.