Triple

T31316965
Position Surface form Disambiguated ID Type / Status
Subject Roman White E798622 entity
Predicate notableWork P4 FINISHED
Object All-American Girl (music video)
"All-American Girl" is the music video for Carrie Underwood's hit country song, directed by Roman White and known for its heartwarming portrayal of a young girl's life and family.
E1956479 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: All-American Girl (music video) | Statement: [Roman White, notableWork, All-American Girl (music video)]
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: All-American Girl (music video)
Triple: [Roman White, notableWork, All-American Girl (music video)]
Generated description
"All-American Girl" is the music video for Carrie Underwood's hit country song, directed by Roman White and known for its heartwarming portrayal of a young girl's life and family.

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_69f224e1932c81908fef14f7b03a10b7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69eaa98dc8190a34cf98acd67ca7e completed May 3, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e4598348190b00af58baa3cd3f0 completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a3711ead8819082d5bd3cbab6bbcb completed June 11, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2a37b350c08190be9922bfe6977ae6 completed June 11, 2026, 4:21 a.m.
Created at: April 29, 2026, 9:15 p.m.