Triple

T36431820
Position Surface form Disambiguated ID Type / Status
Subject Jim Bunning E897463 entity
Predicate occupation P3 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: [Jim Bunning, occupation, 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: [Jim Bunning, occupation, 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_69f76e56636481908eda808ab0273401 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd65618c8190ac84bec76a41dc89 completed May 3, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c40c4c9c8190923dab70e38900b1 completed June 22, 2026, 11:23 p.m.
NEDg Description generation batch_6a39c49dc36c8190b6791483ee8a7e31 completed June 22, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39c52475348190a171242f4714705d completed June 22, 2026, 11:28 p.m.
Created at: May 3, 2026, 4:10 p.m.