Triple

T31522529
Position Surface form Disambiguated ID Type / Status
Subject Five Guys Named Moe E804245 entity
Predicate notableSong P4 FINISHED
Object Knock Me a Kiss
"Knock Me a Kiss" is a popular jazz and swing-era song, best known through Louis Jordan’s performances and its inclusion in the musical revue Five Guys Named Moe.
E1965655 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: Knock Me a Kiss | Statement: [Five Guys Named Moe, notableSong, Knock Me a Kiss]
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: Knock Me a Kiss
Triple: [Five Guys Named Moe, notableSong, Knock Me a Kiss]
Generated description
"Knock Me a Kiss" is a popular jazz and swing-era song, best known through Louis Jordan’s performances and its inclusion in the musical revue Five Guys Named Moe.

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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a75d178881908df56069f5ab35f3 completed May 3, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b148007c88190960fb28ed03d2bb1 completed June 11, 2026, 8:03 p.m.
NEDg Description generation batch_6a2b1631ffcc8190bf1c512953e526f6 completed June 11, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a2b18c22a48819084a8414aee86ca35 completed June 11, 2026, 8:21 p.m.
Created at: April 30, 2026, 9:56 p.m.