Triple

T23914448
Position Surface form Disambiguated ID Type / Status
Subject Board of Directors of Oracle Corporation E602041 entity
Predicate hasMember P10 FINISHED
Object Charles W. Moorman
Charles W. Moorman is an American railroad executive best known for serving as CEO of Norfolk Southern Railway and later as CEO of Amtrak.
E2290143 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: Charles W. Moorman | Statement: [Board of Directors of Oracle Corporation, hasMember, Charles W. Moorman]
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: Charles W. Moorman
Triple: [Board of Directors of Oracle Corporation, hasMember, Charles W. Moorman]
Generated description
Charles W. Moorman is an American railroad executive best known for serving as CEO of Norfolk Southern Railway and later as CEO of Amtrak.

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_69e2953a187081908346a9f36e85fc98 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce97f694819087215ed9f18b290e completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5ba3d330908190b1cb2dfc847de034 completed July 18, 2026, 4:03 p.m.
NEDg Description generation batch_6a5ba4a2a2948190a4f3cebbf5469108 completed July 18, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_6a5ba52fbe388190bbc78adb400726a7 completed July 18, 2026, 4:09 p.m.
Created at: April 17, 2026, 8:39 p.m.