Triple

T22989771
Position Surface form Disambiguated ID Type / Status
Subject Holiday World & Splashin' Safari E572013 entity
Predicate founder P104 FINISHED
Object Louis J. Koch
Louis J. Koch was an American entrepreneur best known for creating the family-owned theme park that became Holiday World & Splashin' Safari in Santa Claus, Indiana.
E1640800 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: Louis J. Koch | Statement: [Holiday World & Splashin' Safari, founder, Louis J. Koch]
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: Louis J. Koch
Triple: [Holiday World & Splashin' Safari, founder, Louis J. Koch]
Generated description
Louis J. Koch was an American entrepreneur best known for creating the family-owned theme park that became Holiday World & Splashin' Safari in Santa Claus, Indiana.

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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ea55cc8190b64b722ce8c45b53 completed April 29, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8235ccc81909245851393c7a383 completed May 22, 2026, 6:30 a.m.
NEDg Description generation batch_6a0ff8eff7248190afaf5cccdd4a3444 completed May 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9d952ec81908a5b2640c263e21d completed May 22, 2026, 6:38 a.m.
Created at: April 17, 2026, 3:49 p.m.