Triple

T1225812
Position Surface form Disambiguated ID Type / Status
Subject Glitter E26323 entity
Predicate musicBy P1952 FINISHED
Object Duro
Duro is a music artist known for creating the track featured in the song "Glitter."
 E140722 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: Duro | Statement: [Glitter, musicBy, Duro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duro
Context triple: [Glitter, musicBy, Duro]
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Durença
    Durença is the Occitan name for the Durance River in southeastern France, a major tributary of the Rhône.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • 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: Duro
Triple: [Glitter, musicBy, Duro]
Generated description
Duro is a music artist known for creating the track featured in the song "Glitter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duro
Target entity description: Duro is a music artist known for creating the track featured in the song "Glitter."
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Durença
    Durença is the Occitan name for the Durance River in southeastern France, a major tributary of the Rhône.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0fcf508190be3668bd55f6f6d6 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8ab214c48190a60c6604a67f9cf2 completed March 7, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b0db83c81909db3c501a435f1d1 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:47 p.m.