Triple

T26515114
Position Surface form Disambiguated ID Type / Status
Subject Rizzo E669791 entity
Predicate sings P12693 FINISHED
Object There Are Worse Things I Could Do
"There Are Worse Things I Could Do" is a reflective solo song from the musical Grease in which the character Rizzo reveals her vulnerability and defiance regarding her reputation and relationships.
E1727326 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: There Are Worse Things I Could Do | Statement: [Rizzo, sings, There Are Worse Things I Could Do]
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: There Are Worse Things I Could Do
Triple: [Rizzo, sings, There Are Worse Things I Could Do]
Generated description
"There Are Worse Things I Could Do" is a reflective solo song from the musical Grease in which the character Rizzo reveals her vulnerability and defiance regarding her reputation and relationships.

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.