Triple

T36517989
Position Surface form Disambiguated ID Type / Status
Subject Rand Paul E900099 entity
Predicate positionHeld P8 FINISHED
Object United States Senator
A United States Senator is an elected member of the upper chamber of the U.S. Congress who represents an entire state and participates in making federal laws, approving treaties, and confirming key government appointments.
E191433 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: United States Senator | Statement: [Rand Paul, positionHeld, United States Senator]
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: United States Senator
Triple: [Rand Paul, positionHeld, United States Senator]
Generated description
A United States Senator is an elected member of the upper chamber of the U.S. Congress who represents an entire state and participates in making federal laws, approving treaties, and confirming key government appointments.

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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1f43db48190966a781d17a93d33 completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbdded5c819096dbf716e1afddc6 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dd5a787c819089c278f86de8078c completed June 23, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_6a39e17cb03c8190830fe006a9dd4455 completed June 23, 2026, 1:29 a.m.
Created at: May 3, 2026, 4:11 p.m.