Triple

T27106544
Position Surface form Disambiguated ID Type / Status
Subject 2021 Virginia gubernatorial election E686593 entity
Predicate candidate P1223 FINISHED
Object Princess Blanding
Princess Blanding is an American activist and educator who ran as a third-party candidate for governor of Virginia in the 2021 election, focusing on racial justice and police reform.
E1758878 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: Princess Blanding | Statement: [2021 Virginia gubernatorial election, candidate, Princess Blanding]
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: Princess Blanding
Triple: [2021 Virginia gubernatorial election, candidate, Princess Blanding]
Generated description
Princess Blanding is an American activist and educator who ran as a third-party candidate for governor of Virginia in the 2021 election, focusing on racial justice and police reform.

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_69ef148accd48190b6ed6e13a15f2a4f completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f623fdda548190827d6867bba39de7 completed May 2, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12480c6f848190b6a3c7799b20f02d completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a124a158d9c819083f116027414b72c completed May 24, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a124ae8eb008190a504bc1eedd82b7e completed May 24, 2026, 12:48 a.m.
Created at: April 27, 2026, 8:51 a.m.