Triple

T24529628
Position Surface form Disambiguated ID Type / Status
Subject 2012 United States Senate election in Nebraska E606766 entity
Predicate otherGeneralElectionCandidate P52669 FINISHED
Object Pat Flynn
Pat Flynn is an American politician and perennial candidate from Nebraska who has run in multiple Republican primary races, including for the U.S. Senate.
E1637552 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: Pat Flynn | Statement: [2012 United States Senate election in Nebraska, otherGeneralElectionCandidate, Pat Flynn]
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: Pat Flynn
Triple: [2012 United States Senate election in Nebraska, otherGeneralElectionCandidate, Pat Flynn]
Generated description
Pat Flynn is an American politician and perennial candidate from Nebraska who has run in multiple Republican primary races, including for the U.S. Senate.

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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f40f7e0f98819085e816400280d483 completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee9b2db481908fffb868994f35f5 completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef3d420481909d2976ec9b6e3033 completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff018892881909d9d1a2d3f73b407 completed May 22, 2026, 5:56 a.m.
Created at: April 18, 2026, 2:25 a.m.