Triple

T24201032
Position Surface form Disambiguated ID Type / Status
Subject Stars Hollow E599978 entity
Predicate hasBusiness P21206 FINISHED
Object Miss Patty’s Dance School
Miss Patty’s Dance School is a small-town dance studio in Stars Hollow known for its lively classes, community events, and colorful owner in the TV series "Gilmore Girls."
E1625586 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: Miss Patty’s Dance School | Statement: [Stars Hollow, hasBusiness, Miss Patty’s Dance School]
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: Miss Patty’s Dance School
Triple: [Stars Hollow, hasBusiness, Miss Patty’s Dance School]
Generated description
Miss Patty’s Dance School is a small-town dance studio in Stars Hollow known for its lively classes, community events, and colorful owner in the TV series "Gilmore Girls."

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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca1f3b481908c14052a8435fd21 completed April 29, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd14e1dc8190ae43fd32255b7e19 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbe78822881909e04f037a60db091 completed May 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf0ed7808190b64797da02f8fbac completed May 22, 2026, 2:27 a.m.
Created at: April 17, 2026, 11:36 p.m.