Triple

T3772093
Position Surface form Disambiguated ID Type / Status
Subject Juno E83220 entity
Predicate composer P1361 FINISHED
Object Mateo Messina E237366 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: Mateo Messina | Statement: [Juno, composer, Mateo Messina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateo Messina
Context triple: [Juno, composer, Mateo Messina]
  • A. Mateo Messina chosen
    Mateo Messina is an American composer best known for his quirky, melodic film scores, including his award-winning work on the movie "Juno."
  • B. Marcus Álvarez
    Marcus Álvarez is a central fictional crime boss and founding member of the Mayans Motorcycle Club in the television series Mayans M.C.
  • C. Sebastian Castellanos
    Sebastian Castellanos is a troubled detective and the primary protagonist of The Evil Within survival horror video game series, known for confronting nightmarish psychological and supernatural threats.
  • D. Sebastian Esposito
    Sebastian Esposito is a relatively obscure individual whose primary current notability appears to stem from sharing the surname Esposito rather than from widely recognized public achievements.
  • E. Gabriel Beristain
    Gabriel Beristain is a Mexican cinematographer and director known for his stylish visual work on genre films and major studio productions, including entries in the Marvel Cinematic Universe.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.