Triple

T4623375
Position Surface form Disambiguated ID Type / Status
Subject Buddy Buddy E101037 entity
Predicate featuresCharacter P626 FINISHED
Object Trabucco
Trabucco is a character from the film "Buddy Buddy," contributing to the movie’s comedic and narrative dynamics.
 E456996 NE FINISHED

How this triple was built (4 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: Trabucco | Statement: [Buddy Buddy, featuresCharacter, Trabucco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trabucco
Context triple: [Buddy Buddy, featuresCharacter, Trabucco]
  • A. Cominotto
    Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
  • B. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • C. Tredozio
    Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
  • D. Gambón
    Gambón is a Spanish surname, most notably associated with individuals of Iberian origin and sometimes used as a variant spelling of similar family names.
  • E. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trabucco
Triple: [Buddy Buddy, featuresCharacter, Trabucco]
Generated description
Trabucco is a character from the film "Buddy Buddy," contributing to the movie’s comedic and narrative dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trabucco
Target entity description: Trabucco is a character from the film "Buddy Buddy," contributing to the movie’s comedic and narrative dynamics.
  • A. Cominotto
    Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
  • B. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • C. Tredozio
    Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
  • D. Gambón
    Gambón is a Spanish surname, most notably associated with individuals of Iberian origin and sometimes used as a variant spelling of similar family names.
  • E. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • F. None of above. chosen

Provenance (5 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa069388190b6482315708b85c2 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:12 p.m.