Triple

T27741736
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Republican Party E701872 entity
Predicate hasWing P35 FINISHED
Object New Jersey Young Republicans
New Jersey Young Republicans is the youth wing of the Republican Party in New Jersey, engaging and organizing young adults in conservative politics and campaigns across the state.
E1789796 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: New Jersey Young Republicans | Statement: [New Jersey Republican Party, hasWing, New Jersey Young Republicans]
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: New Jersey Young Republicans
Triple: [New Jersey Republican Party, hasWing, New Jersey Young Republicans]
Generated description
New Jersey Young Republicans is the youth wing of the Republican Party in New Jersey, engaging and organizing young adults in conservative politics and campaigns across the state.

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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637169d6c8190bf74d5b882d2eb7d completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecab3d088190a709ae9a99825391 completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed49266881909fd55a7028ad6a1f completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee215b4c8190aeef56575c0c0015 completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 4:11 p.m.