Triple

T27573176
Position Surface form Disambiguated ID Type / Status
Subject Commanding General, Third United States Army E696086 entity
Predicate positionHeldBy P8 FINISHED
Object William R. Peers
William R. Peers was a U.S. Army lieutenant general best known for his command roles in World War II and Vietnam and for leading the official investigation into the My Lai Massacre.
E1795051 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 R. Peers | Statement: [Commanding General, Third United States Army, positionHeldBy, William R. Peers]
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 R. Peers
Triple: [Commanding General, Third United States Army, positionHeldBy, William R. Peers]
Generated description
William R. Peers was a U.S. Army lieutenant general best known for his command roles in World War II and Vietnam and for leading the official investigation into the My Lai Massacre.

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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fed98888190bdc01137b65acbb6 completed May 2, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13032e78d88190b3566d7057aaaaa0 completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1303a301c08190af09fa8b1ec1d47a completed May 24, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a13057f06508190bc4a4bc92cb32d7f completed May 24, 2026, 2:04 p.m.
Created at: April 27, 2026, 1:44 p.m.