Triple

T9790210
Position Surface form Disambiguated ID Type / Status
Subject Side Effects E237586 entity
Predicate producer P490 FINISHED
Object Lorenzo di Bonaventura E322038 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: Lorenzo di Bonaventura | Statement: [Side Effects, producer, Lorenzo di Bonaventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo di Bonaventura
Context triple: [Side Effects, producer, Lorenzo di Bonaventura]
  • A. Lorenzo di Bonaventura chosen
    Lorenzo di Bonaventura is an American film producer best known for overseeing major Hollywood action and franchise films, including the Transformers series.
  • B. Leo Benvenuti
    Leo Benvenuti is an American screenwriter best known for co-writing popular family comedies such as "The Santa Clause" and "Kicking & Screaming."
  • C. Paolo Caccia Dominioni
    Paolo Caccia Dominioni was an Italian army officer, engineer, and writer best known for his postwar work identifying the fallen and designing the memorial complex at El Alamein.
  • D. Orlando Lorenzini
    Orlando Lorenzini was an Italian military officer best known for commanding Axis forces during the World War II Battle of Sidi Bou Zid in Tunisia.
  • E. Guido Trento
    Guido Trento was an actor known for his role in the silent film "Street Angel."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.