Triple

T9845640
Position Surface form Disambiguated ID Type / Status
Subject My Little Chickadee E239335 entity
Predicate castMember P1668 FINISHED
Object Joseph Calleia E600513 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: Joseph Calleia | Statement: [My Little Chickadee, castMember, Joseph Calleia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Calleia
Context triple: [My Little Chickadee, castMember, Joseph Calleia]
  • A. Joseph Calleia chosen
    Joseph Calleia was a Maltese-American character actor known for his distinctive voice and frequent roles as villains or tough figures in Hollywood films of the 1930s and 1940s.
  • B. Jan Porcellis
    Jan Porcellis was a prominent Dutch Golden Age marine painter renowned for his atmospheric seascapes and innovative treatment of light and weather.
  • C. Luciano
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • D. Charlie Callas
    Charlie Callas was an American comedian and actor known for his frenetic, sound-effect-laden stand-up routines and frequent appearances on television and in films during the 1960s and 1970s.
  • E. Julian Farino
    Julian Farino is a British television and film director and producer best known for his work on acclaimed series such as HBO's Entourage.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb35ff7848190a8a717773d8654b9 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.