Triple

T11386191
Position Surface form Disambiguated ID Type / Status
Subject Tex Avery E269719 entity
Predicate influenced P9 FINISHED
Object Michael Maltese E282555 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: Michael Maltese | Statement: [Tex Avery, influenced, Michael Maltese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Maltese
Context triple: [Tex Avery, influenced, Michael Maltese]
  • A. Michael Maltese chosen
    Michael Maltese was an American animation writer and storyman best known for his influential work on classic Warner Bros. cartoons, including many iconic Looney Tunes characters and shorts.
  • B. Morio Muskat
    Morio Muskat is a white wine grape variety from Germany, known for its aromatic, Muscat-like character and use in producing light, fruity wines.
  • C. Frank Gruber
    Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
  • D. Stanley Mott
    Stanley Mott is a central fictional aerospace engineer and spaceflight pioneer in James A. Michener’s novel "Space."
  • E. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b813cfc48190a10d9b78953112ae completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.