Triple

T17467014
Position Surface form Disambiguated ID Type / Status
Subject Miguel Bosé E425301 entity
Predicate album P1995 FINISHED
Object Amo
"Amo" is a studio album by Spanish pop singer Miguel Bosé that blends sophisticated pop production with introspective and romantic themes.
E1271284 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: Amo | Statement: [Miguel Bosé, album, Amo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amo
Context triple: [Miguel Bosé, album, Amo]
  • A. Amore
    Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
  • B. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • C. Amores
    Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
  • D. Amores
    Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • E. De Amert
    De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
  • 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: Amo
Triple: [Miguel Bosé, album, Amo]
Generated description
"Amo" is a studio album by Spanish pop singer Miguel Bosé that blends sophisticated pop production with introspective and romantic themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amo
Target entity description: "Amo" is a studio album by Spanish pop singer Miguel Bosé that blends sophisticated pop production with introspective and romantic themes.
  • A. Amore
    Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
  • B. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • C. Amores
    Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
  • D. Amores
    Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • E. De Amert
    De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a8f4908190a67a3a82a1c8f011 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b827bad4819083e1814183fe24a1 completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01bca7ce18819085b00fe298b89492 completed May 11, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01bd3d64048190bb7e3acf2b460128 completed May 11, 2026, 11:27 a.m.
Created at: April 10, 2026, 5:47 a.m.