Triple

T11716869
Position Surface form Disambiguated ID Type / Status
Subject Eric Bauza E278521 entity
Predicate voiceRole P12691 FINISHED
Object Marvin the Martian E55365 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: Marvin the Martian | Statement: [Eric Bauza, voiceRole, Marvin the Martian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvin the Martian
Context triple: [Eric Bauza, voiceRole, Marvin the Martian]
  • A. Marvin the Martian chosen
    Marvin the Martian is a classic Looney Tunes character, a soft-spoken yet menacing Martian villain known for his Roman-style helmet, ray gun, and comically earnest attempts to destroy Earth.
  • B. Marvin
    Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
  • C. Marvin
    Marvin is a given name most famously associated with Marvin Minsky, a pioneering cognitive scientist and co-founder of the field of artificial intelligence.
  • D. Marvin
    Marvin is a character featured in the musical works of American composer and lyricist William Finn, notably in his "Marvin Trilogy" of shows.
  • E. Marvin
    Marvin is the given first name of the renowned American playwright and screenwriter Neil Simon.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c10d988190842acd824135cf15 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16679c0ec81909fe80d75dd582db1 completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:40 p.m.