Triple

T17305773
Position Surface form Disambiguated ID Type / Status
Subject Mike Lowrey E420160 entity
Predicate createdBy P806 FINISHED
Object George Gallo E427996 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: George Gallo | Statement: [Mike Lowrey, createdBy, George Gallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Gallo
Context triple: [Mike Lowrey, createdBy, George Gallo]
  • A. George Gallo chosen
    George Gallo is an American screenwriter and filmmaker best known for creating the characters behind the "Bad Boys" action-comedy film franchise.
  • B. Arthur Gallucci
    Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
  • C. Frank Galati
    Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
  • D. Armando Joseph Greco
    Armando Joseph Greco, better known as Buddy Greco, was an American jazz and pop singer and pianist renowned for his smooth vocal style and prolific recording career.
  • E. Donald Gennaro
    Donald Gennaro is a lawyer representing InGen in the Jurassic Park franchise, known for his ill-fated visit to the dinosaur theme park.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c440c58819084792fcd6b7a7a79 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.