Triple

T8484794
Position Surface form Disambiguated ID Type / Status
Subject ENOC E200804 entity
Predicate featuresArtist P1952 FINISHED
Object Lunay E735730 NE FINISHED

How this triple was built (2 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: Lunay | Statement: [ENOC, featuresArtist, Lunay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunay
Context triple: [ENOC, featuresArtist, Lunay]
  • A. Lunay chosen
    Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
  • B. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • C. Luna
    Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
  • D. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • E. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df197c48190812c5287119e5528 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.