Triple

T7602107
Position Surface form Disambiguated ID Type / Status
Subject Garcilaso de la Vega E180006 entity
Predicate notableWork P4 FINISHED
Object Canciones (Songs)
Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
E675887 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: Canciones (Songs) | Statement: [Garcilaso de la Vega, notableWork, Canciones (Songs)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canciones (Songs)
Context triple: [Garcilaso de la Vega, notableWork, Canciones (Songs)]
  • A. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • B. Canta
    Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
  • C. Say It with Songs
    Say It with Songs is a 1929 American musical drama film starring Al Jolson, known for its early use of synchronized sound and song performances.
  • D. Sister Songs
    Sister Songs is a lyrical and symbolist poem by English poet Francis Thompson, noted for its rich religious imagery and musical language.
  • E. 31 Songs
    31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
  • 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: Canciones (Songs)
Triple: [Garcilaso de la Vega, notableWork, Canciones (Songs)]
Generated description
Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canciones (Songs)
Target entity description: Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
  • A. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • B. Canta
    Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
  • C. Say It with Songs
    Say It with Songs is a 1929 American musical drama film starring Al Jolson, known for its early use of synchronized sound and song performances.
  • D. Sister Songs
    Sister Songs is a lyrical and symbolist poem by English poet Francis Thompson, noted for its rich religious imagery and musical language.
  • E. 31 Songs
    31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8691bf25881909585bb04404f90da completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8698f70a081909633b3b6d7fd45e1 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:54 p.m.