Triple

T13725482
Position Surface form Disambiguated ID Type / Status
Subject Mickey & Sylvia E329142 entity
Predicate notableWork P4 FINISHED
Object Dearest
"Dearest" is a rhythm and blues song recorded by the American duo Mickey & Sylvia, known for their smooth vocal harmonies and guitar work in the 1950s.
 E1058450 NE FINISHED

How this triple was built (4 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: Dearest | Statement: [Mickey & Sylvia, notableWork, Dearest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dearest
Context triple: [Mickey & Sylvia, notableWork, Dearest]
  • A. Dearest
    Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
  • B. Darling
    Darling is a surname most prominently associated with Ron Darling, a former Major League Baseball pitcher and current television baseball analyst.
  • C. Darling
    Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
  • D. Darling
    Darling is a character played by Eiza González in the action film "Baby Driver," known as a stylish and dangerous bank robber and the girlfriend of fellow criminal Buddy.
  • E. Darling
    Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dearest
Triple: [Mickey & Sylvia, notableWork, Dearest]
Generated description
"Dearest" is a rhythm and blues song recorded by the American duo Mickey & Sylvia, known for their smooth vocal harmonies and guitar work in the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dearest
Target entity description: "Dearest" is a rhythm and blues song recorded by the American duo Mickey & Sylvia, known for their smooth vocal harmonies and guitar work in the 1950s.
  • A. Dearest
    Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
  • B. Darling
    Darling is a surname most prominently associated with Ron Darling, a former Major League Baseball pitcher and current television baseball analyst.
  • C. Darling
    Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
  • D. Darling
    Darling is a character played by Eiza González in the action film "Baby Driver," known as a stylish and dangerous bank robber and the girlfriend of fellow criminal Buddy.
  • E. Darling
    Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
  • F. None of above. chosen

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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f63c1c8190a7d0b84f319aa99b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d60cd048190b20c4e6f49f816a6 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e9e6ff88190b031fb1403cacabc completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2d6e7ec81908a4cbc324e793c24 completed May 3, 2026, 7:32 p.m.
Created at: April 9, 2026, 9:55 p.m.