Triple

T27013143
Position Surface form Disambiguated ID Type / Status
Subject Laurence S. Kuter E680447 entity
Predicate positionHeld P8 FINISHED
Object Commander, Military Air Transport Service
Commander, Military Air Transport Service was the senior leadership post responsible for directing the U.S. Air Force’s global airlift and transport operations during the era of the Military Air Transport Service.
E1256978 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: Commander, Military Air Transport Service | Statement: [Laurence S. Kuter, positionHeld, Commander, Military Air Transport Service]
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: Commander, Military Air Transport Service
Triple: [Laurence S. Kuter, positionHeld, Commander, Military Air Transport Service]
Generated description
Commander, Military Air Transport Service was the senior leadership post responsible for directing the U.S. Air Force’s global airlift and transport operations during the era of the Military Air Transport 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_69eeeb53939c8190bd431f32b060f01f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621fe880481908f62f711ac300825 completed May 2, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229c46770819096d028dac8bba146 completed May 23, 2026, 10:27 p.m.
NEDg Description generation batch_6a122a8570488190a59ab7f4422cc63d completed May 23, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a122af21ba88190b6779cd1c12861a1 completed May 23, 2026, 10:32 p.m.
Created at: April 27, 2026, 7:04 a.m.