Triple

T15926877
Position Surface form Disambiguated ID Type / Status
Subject Mahershalalhashbaz Ali E386225 entity
Predicate notableWork P4 FINISHED
Object Moonlight E67299 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: Moonlight | Statement: [Mahershalalhashbaz Ali, notableWork, Moonlight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moonlight
Context triple: [Mahershalalhashbaz Ali, notableWork, Moonlight]
  • A. Moonlight
    "Moonlight" is a country song by the American duo Love and Theft, known for its smooth harmonies and romantic, laid-back vibe.
  • B. Moonlight
    Moonlight is an anime television series produced by Pastel Productions.
  • C. Moonlight chosen
    Moonlight is a critically acclaimed 2016 coming-of-age drama film that explores themes of identity, sexuality, and race through the life of a young Black man growing up in Miami.
  • D. Moonlight
    Moonlight is the famous popular nickname for Beethoven’s Piano Sonata No. 14 in C-sharp minor, Op. 27 No. 2, one of the most celebrated works in the classical piano repertoire.
  • E. Moonlight
    "Moonlight" is a popular emo-rap song by American rapper XXXTentacion, known for its melodic style and posthumous chart success.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156866de48190a744e8dcaa0c66f1 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.