Triple

T24388389
Position Surface form Disambiguated ID Type / Status
Subject I Wonder Who's Kissing Her Now E614813 entity
Predicate mainSubject P3 FINISHED
Object Joseph E. Howard
Joseph E. Howard was an American composer and vaudeville performer best known for writing popular early 20th-century songs such as "I Wonder Who's Kissing Her Now."
E2293487 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: Joseph E. Howard | Statement: [I Wonder Who's Kissing Her Now, mainSubject, Joseph E. Howard]
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: Joseph E. Howard
Triple: [I Wonder Who's Kissing Her Now, mainSubject, Joseph E. Howard]
Generated description
Joseph E. Howard was an American composer and vaudeville performer best known for writing popular early 20th-century songs such as "I Wonder Who's Kissing Her Now."

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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29456cc548190bb92b750fd2d04af completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ab319ec04819095ea5ba31cf955d1 completed Aug. 11, 2026, 5:28 a.m.
NEDg Description generation batch_6a7ab43ed7b48190bb27710f67774a9c completed Aug. 11, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a7ab49eeda48190822a8af11cd77a9e completed Aug. 11, 2026, 5:35 a.m.
Created at: April 18, 2026, 2:03 a.m.