Triple

T27426762
Position Surface form Disambiguated ID Type / Status
Subject Ruth Wallis E690508 entity
Predicate notableWork P4 FINISHED
Object Dear Mr. Godfrey
"Dear Mr. Godfrey" is a comic novelty song by American cabaret singer Ruth Wallis, known for its humorous and risqué style.
 E1772073 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: Dear Mr. Godfrey | Statement: [Ruth Wallis, notableWork, Dear Mr. Godfrey]
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: Dear Mr. Godfrey
Triple: [Ruth Wallis, notableWork, Dear Mr. Godfrey]
Generated description
"Dear Mr. Godfrey" is a comic novelty song by American cabaret singer Ruth Wallis, known for its humorous and risqué style.

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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d553c1c81909aace359027f4019 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b24bfa1881908f6475561c24ec8b completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b2e7e7a08190a7066b6fb6c07568 completed May 24, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a12b3573a6c819093c3df4feaa23f0a completed May 24, 2026, 8:14 a.m.
Created at: April 27, 2026, 12:41 p.m.