Triple

T23609847
Position Surface form Disambiguated ID Type / Status
Subject 2014 Broadway revival of Side Show E583005 entity
Predicate originalCastMember P7010 FINISHED
Object Emily Padgett
Emily Padgett is an American musical theatre actress best known for her leading role as Daisy Hilton in the 2014 Broadway revival of the musical "Side Show."
E1640834 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: Emily Padgett | Statement: [2014 Broadway revival of Side Show, originalCastMember, Emily Padgett]
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: Emily Padgett
Triple: [2014 Broadway revival of Side Show, originalCastMember, Emily Padgett]
Generated description
Emily Padgett is an American musical theatre actress best known for her leading role as Daisy Hilton in the 2014 Broadway revival of the musical "Side Show."

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_69e248faa2788190abb1581742daa6aa completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0f399cc8190a18d94b60fdca042 completed April 29, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff82846e48190a29e3efbcfad2c92 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff93a0dec81909163580a48548e9a completed May 22, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9d952ec81908a5b2640c263e21d completed May 22, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:44 p.m.