Triple

T5160141
Position Surface form Disambiguated ID Type / Status
Subject Ludaversal E116414 entity
Predicate featuresArtist P1952 FINISHED
Object Monica E35258 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: Monica | Statement: [Ludaversal, featuresArtist, Monica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica
Context triple: [Ludaversal, featuresArtist, Monica]
  • A. Monica chosen
    Monica is an American R&B singer and songwriter known for her powerful vocals and 1990s hits like "The Boy Is Mine" (with Brandy) and "Angel of Mine."
  • B. Monica Raymund
    Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
  • C. Monica Morgan
    Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
  • D. Monica McWilliams
    Monica McWilliams is a Northern Irish academic, human rights activist, and former politician known for her prominent role in the Northern Ireland peace process and advocacy for women's rights.
  • E. Monica Collingwood
    Monica Collingwood was an American film editor known for her work on classic Hollywood films, including the 1947 romantic comedy "The Bishop's Wife."
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd790613bc819084765cd4ea648dc9 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01ce48081908813348b762bf1b0 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.