Triple

T35235201
Position Surface form Disambiguated ID Type / Status
Subject Tariq St. Patrick E1017356 entity
Predicate associatedWith P37 FINISHED
Object Rashad Tate
Rashad Tate is a charismatic and ambitious New York politician in the Power television universe, known for his strategic alliances and morally ambiguous pursuit of power.
E2132486 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: Rashad Tate | Statement: [Tariq St. Patrick, associatedWith, Rashad Tate]
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: Rashad Tate
Triple: [Tariq St. Patrick, associatedWith, Rashad Tate]
Generated description
Rashad Tate is a charismatic and ambitious New York politician in the Power television universe, known for his strategic alliances and morally ambiguous pursuit of power.

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78eed99108190801f7aa9fa67e9df completed May 3, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380fa2f798819097aef12208fae1f7 completed June 21, 2026, 4:21 p.m.
NEDg Description generation batch_6a381054dd7c8190bf1bd04106c4c961 completed June 21, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a3811591560819086763f49d26a5482 completed June 21, 2026, 4:29 p.m.
Created at: May 3, 2026, 4:02 p.m.