Triple

T34066148
Position Surface form Disambiguated ID Type / Status
Subject Iota Phi Theta E873630 entity
Predicate founder P104 FINISHED
Object John Slade
John Slade is one of the founding members of Iota Phi Theta, a historically African American fraternity established in the 1960s.
E2081208 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: John Slade | Statement: [Iota Phi Theta, founder, John Slade]
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: John Slade
Triple: [Iota Phi Theta, founder, John Slade]
Generated description
John Slade is one of the founding members of Iota Phi Theta, a historically African American fraternity established in the 1960s.

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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70ba352e48190b5fe71aef306028d completed May 3, 2026, 8:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae4ba4e881908c1db6ba15fb80c8 completed June 20, 2026, 3:14 p.m.
NEDg Description generation batch_6a36aef5e62c81909695813abde97094 completed June 20, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a36afe4c5cc81909ea9c8b3d3903db5 completed June 20, 2026, 3:21 p.m.
Created at: May 1, 2026, 1:52 a.m.