Triple

T19167192
Position Surface form Disambiguated ID Type / Status
Subject Commanding General, U.S. Army Futures Command E469215 entity
Predicate firstHolder P291 FINISHED
Object John M. Murray
John M. Murray is a U.S. Army general who became the inaugural leader of the Army Futures Command, overseeing modernization and future capabilities development for the service.
E2258438 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 M. Murray | Statement: [Commanding General, U.S. Army Futures Command, firstHolder, John M. Murray]
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 M. Murray
Triple: [Commanding General, U.S. Army Futures Command, firstHolder, John M. Murray]
Generated description
John M. Murray is a U.S. Army general who became the inaugural leader of the Army Futures Command, overseeing modernization and future capabilities development for the service.

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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16035b481908667a4415a1a63c9 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41710232788190b0219d22ff47f7d7 completed June 28, 2026, 7:07 p.m.
NEDg Description generation batch_6a4172eb95fc819082d3ce8090f9b20c completed June 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a41736266c08190810e3a1748d0ff59 completed June 28, 2026, 7:17 p.m.
Created at: April 10, 2026, 12:06 p.m.