Triple

T26514997
Position Surface form Disambiguated ID Type / Status
Subject Rydell High School E669788 entity
Predicate settingFor P15599 FINISHED
Object musical number "Beauty School Dropout"
"Beauty School Dropout" is a comic doo-wop style song from the musical Grease in which a guardian angel chastises Frenchy for dropping out of beauty school.
E1727315 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: musical number "Beauty School Dropout" | Statement: [Rydell High School, settingFor, musical number "Beauty School Dropout"]
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: musical number "Beauty School Dropout"
Triple: [Rydell High School, settingFor, musical number "Beauty School Dropout"]
Generated description
"Beauty School Dropout" is a comic doo-wop style song from the musical Grease in which a guardian angel chastises Frenchy for dropping out of beauty school.

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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613bc641c819084343cc78d080640 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb418f0c819087d0da0e73237015 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be61ba0c8190b932a96eda11e624 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf2f222c8190ae2e6bcb73204856 completed May 23, 2026, 2:52 p.m.
Created at: April 27, 2026, 1:23 a.m.