Triple
T24830473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Eisenhower |
E621323
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions
*How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions* is a biographical and leadership study by Susan Eisenhower that examines President Dwight D. Eisenhower’s decision-making style and core principles through his most consequential choices in war and peace.
|
E1653423
|
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: How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions | Statement: [Susan Eisenhower, notableWork, How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions]
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: How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions Triple: [Susan Eisenhower, notableWork, How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions]
Generated description
*How Ike Led: The Principles Behind Eisenhower’s Biggest Decisions* is a biographical and leadership study by Susan Eisenhower that examines President Dwight D. Eisenhower’s decision-making style and core principles through his most consequential choices in war and peace.
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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f422b1c4a8819086ddc7d20889fcd1 |
completed | May 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c463088819094a455b5bb2b62cc |
completed | May 22, 2026, 9:05 a.m. |
| NEDg | Description generation | batch_6a1028468998819087e3f9b72b85b947 |
completed | May 22, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10291de8b081908ee2e532ddca698e |
completed | May 22, 2026, 9:59 a.m. |
Created at: April 18, 2026, 5:14 a.m.