Triple

T22982287
Position Surface form Disambiguated ID Type / Status
Subject Lowell George E571500 entity
Predicate wroteSong P2831 FINISHED
Object Spanish Moon
"Spanish Moon" is a funk-influenced rock song by the band Little Feat, noted for its dark, atmospheric lyrics and prominent bass groove.
 E1565823 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: Spanish Moon | Statement: [Lowell George, wroteSong, Spanish Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spanish Moon
Context triple: [Lowell George, wroteSong, Spanish Moon]
  • A. Mexican Moon
    "Mexican Moon" is a 1993 alternative rock album by American band Concrete Blonde, noted for its dark, atmospheric sound and Latin-influenced themes.
  • 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. Doña Sol
    Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
  • D. Spanish Eyes
    "Spanish Eyes" is a popular romantic ballad best known through Al Martino’s hit 1960s recording, which became a standard in easy listening and pop music.
  • E. Spanish Eyes
    "Spanish Eyes" is a song by Irish rock band U2, released as a B-side track during their late-1980s period.
  • 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: Spanish Moon
Triple: [Lowell George, wroteSong, Spanish Moon]
Generated description
"Spanish Moon" is a funk-influenced rock song by the band Little Feat, noted for its dark, atmospheric lyrics and prominent bass groove.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spanish Moon
Target entity description: "Spanish Moon" is a funk-influenced rock song by the band Little Feat, noted for its dark, atmospheric lyrics and prominent bass groove.
  • A. Mexican Moon
    "Mexican Moon" is a 1993 alternative rock album by American band Concrete Blonde, noted for its dark, atmospheric sound and Latin-influenced themes.
  • 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. Doña Sol
    Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
  • D. Spanish Eyes
    "Spanish Eyes" is a popular romantic ballad best known through Al Martino’s hit 1960s recording, which became a standard in easy listening and pop music.
  • E. Spanish Eyes
    "Spanish Eyes" is a song by Irish rock band U2, released as a B-side track during their late-1980s period.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829645f88190aea1b96ea595ff60 completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3730f9c8190afd3c61b7915025c completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd9ca66708190aebc81802de3f989 completed May 19, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0bda93cce481908b4dad0b481a3b58 completed May 19, 2026, 3:35 a.m.
Created at: April 17, 2026, 3:49 p.m.