Triple

T26719580
Position Surface form Disambiguated ID Type / Status
Subject Morgan Wallen E673664 entity
Predicate notableWork P4 FINISHED
Object Sand in My Boots
"Sand in My Boots" is a reflective country ballad by Morgan Wallen that tells a nostalgic story of a fleeting summer romance and lost chances.
 E1736660 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: Sand in My Boots | Statement: [Morgan Wallen, notableWork, Sand in My Boots]
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: Sand in My Boots
Triple: [Morgan Wallen, notableWork, Sand in My Boots]
Generated description
"Sand in My Boots" is a reflective country ballad by Morgan Wallen that tells a nostalgic story of a fleeting summer romance and lost chances.

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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6180081588190becc2c3f2021b4b1 completed May 2, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe908d5481909ea164b99f0a2568 completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff16d2608190b5f74ef1b9532b93 completed May 23, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a11ff824b2881909354c7ab3749ccaf completed May 23, 2026, 7:26 p.m.
Created at: April 27, 2026, 3:39 a.m.