Triple

T4197972
Position Surface form Disambiguated ID Type / Status
Subject Bad Boys for Life E85998 entity
Predicate cinematographyBy P1953 FINISHED
Object Roberto De Angelis
Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
E420158 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: Roberto De Angelis | Statement: [Bad Boys for Life, cinematographyBy, Roberto De Angelis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto De Angelis
Context triple: [Bad Boys for Life, cinematographyBy, Roberto De Angelis]
  • A. Enzo Rossi
    Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
  • B. Mario Del Monaco
    Mario Del Monaco was a renowned Italian dramatic tenor celebrated for his powerful voice and intense performances, particularly in the Italian operatic repertoire.
  • C. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • D. Luigi Martini
    Luigi Martini is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Martini.
  • E. Loris Martini
    Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
  • 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: Roberto De Angelis
Triple: [Bad Boys for Life, cinematographyBy, Roberto De Angelis]
Generated description
Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roberto De Angelis
Target entity description: Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
  • A. Enzo Rossi
    Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
  • B. Mario Del Monaco
    Mario Del Monaco was a renowned Italian dramatic tenor celebrated for his powerful voice and intense performances, particularly in the Italian operatic repertoire.
  • C. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • D. Luigi Martini
    Luigi Martini is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Martini.
  • E. Loris Martini
    Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0360bc8081908ceb2483eef89174 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a12c11481908033229ecf90c9f9 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e0446d48190a1fd54bcc72af026 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e8d57cc8190a823a7cf3a3f0cdf completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:48 p.m.