Triple

T24080261
Position Surface form Disambiguated ID Type / Status
Subject InterVarsity Press E596483 entity
Predicate parentOrganization P254 FINISHED
Object InterVarsity Christian Fellowship
InterVarsity Christian Fellowship is an evangelical campus ministry organization that serves college and university students and faculty across the United States.
E1619435 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: InterVarsity Christian Fellowship | Statement: [InterVarsity Press, parentOrganization, InterVarsity Christian Fellowship]
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: InterVarsity Christian Fellowship
Triple: [InterVarsity Press, parentOrganization, InterVarsity Christian Fellowship]
Generated description
InterVarsity Christian Fellowship is an evangelical campus ministry organization that serves college and university students and faculty across the United States.

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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2351e08190857d57f266d1d4bf completed April 29, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f96711ee08190b180c28aa7cb33f1 completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0fa6e9417c8190a981bc92ed72dbd1 completed May 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0fa824b6888190a65f2c5abd9ef600 completed May 22, 2026, 12:49 a.m.
Created at: April 17, 2026, 10:43 p.m.