Triple

T28949759
Position Surface form Disambiguated ID Type / Status
Subject Sigma Chi E730975 entity
Predicate founder P104 FINISHED
Object James Parks Caldwell
James Parks Caldwell was one of the seven original founders of the Sigma Chi fraternity and is remembered for his role in shaping its early principles and traditions.
E1862967 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: James Parks Caldwell | Statement: [Sigma Chi, founder, James Parks Caldwell]
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: James Parks Caldwell
Triple: [Sigma Chi, founder, James Parks Caldwell]
Generated description
James Parks Caldwell was one of the seven original founders of the Sigma Chi fraternity and is remembered for his role in shaping its early principles and traditions.

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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65bb75cd08190bbdb63c093ad6210 completed May 2, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a83a564081908b7a5744ce6afeb3 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25ac6034a081909518662153fbe1b3 completed June 7, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 8:43 a.m.