Triple

T12201210
Position Surface form Disambiguated ID Type / Status
Subject Greatest Hits (Simon & Garfunkel album) E290713 entity
Predicate includesTrack P3284 FINISHED
Object Cecilia
"Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
 E971507 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: Cecilia | Statement: [Greatest Hits (Simon & Garfunkel album), includesTrack, Cecilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cecilia
Context triple: [Greatest Hits (Simon & Garfunkel album), includesTrack, Cecilia]
  • A. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • B. Arabella
    Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
  • C. Arabella
    Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
  • D. Oriana
    Oriana is a feminine given name of Latin origin, often associated with meanings like "golden" or "dawn."
  • E. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • 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: Cecilia
Triple: [Greatest Hits (Simon & Garfunkel album), includesTrack, Cecilia]
Generated description
"Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cecilia
Target entity description: "Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
  • A. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • B. Arabella
    Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
  • C. Arabella
    Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
  • D. Oriana
    Oriana is a feminine given name of Latin origin, often associated with meanings like "golden" or "dawn."
  • E. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c79f6cc8190ae8163d2016078c0 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a933fc481909f9e062365bf05fc completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdbee288190991b08ae685bb401 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f610b8efe88190907e84247d9e8456 completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:50 p.m.