Triple

T31732880
Position Surface form Disambiguated ID Type / Status
Subject 2017 United States Senate special election in Alabama E809907 entity
Predicate DemocraticPrimaryCandidate P40075 FINISHED
Object Michael Hansen
Michael Hansen is an Alabama-based Democratic political figure who ran in the 2017 U.S. Senate special election primary in Alabama.
E1980488 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: Michael Hansen | Statement: [2017 United States Senate special election in Alabama, DemocraticPrimaryCandidate, Michael Hansen]
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: Michael Hansen
Triple: [2017 United States Senate special election in Alabama, DemocraticPrimaryCandidate, Michael Hansen]
Generated description
Michael Hansen is an Alabama-based Democratic political figure who ran in the 2017 U.S. Senate special election primary in Alabama.

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_69f348e0e4908190a884582eca646fb7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab209e18819090205ebc68a0dfbf completed May 3, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e658d08208190b473da0b68613e86 completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e682ae8e08190bbdfbd08104a11b9 completed June 14, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_6a2e6b3d1ea08190a6e48fbf597d0782 completed June 14, 2026, 8:50 a.m.
Created at: April 30, 2026, 11:22 p.m.