Triple

T21812069
Position Surface form Disambiguated ID Type / Status
Subject Raise Ravens E538499 entity
Predicate stars P1956 FINISHED
Object Mónica Randall NE NERFINISHED

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: Mónica Randall | Statement: [Raise Ravens, stars, Mónica Randall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mónica Randall
Context triple: [Raise Ravens, stars, Mónica Randall]
  • A. Mónica Randall chosen
    Mónica Randall is a Spanish film and television actress known for her prolific work in Spanish cinema from the 1960s onward, often appearing in dramas, comedies, and genre films.
  • B. Monica Guy
    Monica Guy is known primarily as the sister of American actress, singer, and director Jasmine Guy.
  • C. Monica Johnson
    Monica Johnson was an American screenwriter best known for co-writing several of Albert Brooks’s acclaimed comedy films, including "Lost in America."
  • D. Monica Neale
    Monica Neale is a lesser-known member of the Neale family, historically noted primarily as the sibling of American Catholic bishop Leonard Neale.
  • E. Monica Calhoun
    Monica Calhoun is an American actress known for her work in film and television, particularly in popular African-American ensemble dramas and comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.