Triple

T14588840
Position Surface form Disambiguated ID Type / Status
Subject Bruno Campos E342389 entity
Predicate notableWork P4 FINISHED
Object Blue Moon E946965 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: Blue Moon | Statement: [Bruno Campos, notableWork, Blue Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Moon
Context triple: [Bruno Campos, notableWork, Blue Moon]
  • A. Blue Moon
    Blue Moon is a popular Belgian-style wheat beer brand known for its cloudy appearance and citrus-forward flavor, often served with an orange slice.
  • B. Blue Moon chosen
    Blue Moon is a Filipino romantic drama film recognized for its nostalgic storytelling and emotional exploration of love across different time periods.
  • C. Blue Moon
    "Blue Moon" is a thriller novel in Lee Child's Jack Reacher series, following the drifter hero as he becomes entangled in a violent conflict between rival criminal gangs while trying to help an elderly couple.
  • D. Blue Moon
    "Blue Moon" is a classic popular song composed by Richard Rodgers with lyrics by Lorenz Hart that has become a widely recorded jazz and pop standard.
  • E. Yellow Moon
    "Yellow Moon" is a track by the American experimental rock band Lightning Bolt, known for their intense, noise-driven sound.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.