Triple

T31789483
Position Surface form Disambiguated ID Type / Status
Subject Daniel "Chappie" James Jr. E811420 entity
Predicate spouse P13 FINISHED
Object Dorothy Watkins James
Dorothy Watkins James was the wife of U.S. Air Force General Daniel "Chappie" James Jr., the first African American four-star general in the United States armed forces.
E2104070 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: Dorothy Watkins James | Statement: [Daniel "Chappie" James Jr., spouse, Dorothy Watkins James]
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: Dorothy Watkins James
Triple: [Daniel "Chappie" James Jr., spouse, Dorothy Watkins James]
Generated description
Dorothy Watkins James was the wife of U.S. Air Force General Daniel "Chappie" James Jr., the first African American four-star general in the United States armed forces.

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_69f348e60748819082dcaa7792659803 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ac186f888190979084647ec49b6a completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740e927a88190a5879a1c116afa5b completed June 21, 2026, 1:39 a.m.
NEDg Description generation batch_6a374208897081909434c3a2e34d2d2f completed June 21, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a3743223b3881909db5005278415166 completed June 21, 2026, 1:49 a.m.
Created at: April 30, 2026, 11:38 p.m.