Triple

T13993545
Position Surface form Disambiguated ID Type / Status
Subject Insomniac E336638 entity
Predicate track P17929 FINISHED
Object Sweet Isabel
"Sweet Isabel" is a song by the American rock band Insomniac.
 E1072848 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: Sweet Isabel | Statement: [Insomniac, track, Sweet Isabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sweet Isabel
Context triple: [Insomniac, track, Sweet Isabel]
  • A. Blanquita
    Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
  • B. La Malagueña
    "La Malagueña" is a famous traditional Mexican song, often performed in mariachi style, known for its dramatic melody and demanding vocal range.
  • C. La Mariquita
    "La Mariquita" is a traditional Mexican song popularized internationally through its inclusion on Linda Ronstadt’s acclaimed mariachi album *Canciones de Mi Padre*.
  • D. Count of Nieva
    The Count of Nieva is a Spanish noble title historically associated with the influential House of Zúñiga.
  • E. Dona Paula
    Dona Paula is a popular coastal tourist destination near Panaji in Goa, India, known for its scenic sea views, romantic legends, and water sports.
  • 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: Sweet Isabel
Triple: [Insomniac, track, Sweet Isabel]
Generated description
"Sweet Isabel" is a song by the American rock band Insomniac.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sweet Isabel
Target entity description: "Sweet Isabel" is a song by the American rock band Insomniac.
  • A. Blanquita
    Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
  • B. La Malagueña
    "La Malagueña" is a famous traditional Mexican song, often performed in mariachi style, known for its dramatic melody and demanding vocal range.
  • C. La Mariquita
    "La Mariquita" is a traditional Mexican song popularized internationally through its inclusion on Linda Ronstadt’s acclaimed mariachi album *Canciones de Mi Padre*.
  • D. Count of Nieva
    The Count of Nieva is a Spanish noble title historically associated with the influential House of Zúñiga.
  • E. Dona Paula
    Dona Paula is a popular coastal tourist destination near Panaji in Goa, India, known for its scenic sea views, romantic legends, and water sports.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9a7e8c8190a0fd0cd67ff50741 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbad64934481908ad35366ded9c7a0 completed May 6, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69fbae1c5c988190bcc800d701bccca3 completed May 6, 2026, 9:09 p.m.
Created at: April 9, 2026, 10:19 p.m.