Triple

T13768590
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz W201 E330814 entity
Predicate designer P184 FINISHED
Object Bruno Sacco E1078027 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: Bruno Sacco | Statement: [Mercedes-Benz W201, designer, Bruno Sacco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Sacco
Context triple: [Mercedes-Benz W201, designer, Bruno Sacco]
  • A. Bruno Sacco chosen
    Bruno Sacco is a renowned Italian automotive designer best known for shaping the modern design language of Mercedes-Benz from the 1970s through the 1990s.
  • B. Bruno Ferraro
    Bruno Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
  • C. Guido Saracco
    Guido Saracco is an Italian chemical engineer and academic who serves as rector of the Polytechnic University of Turin.
  • D. Sandro Corsaro
    Sandro Corsaro is an American animator, writer, and producer best known for creating the Disney XD animated series "Kick Buttowski: Suburban Daredevil."
  • E. Bruno Siciliano
    Bruno Siciliano is an Italian roboticist and professor renowned for his influential research, leadership, and educational contributions in the field of robotics and automation.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679214208190a9ee4cce882f59cb completed May 10, 2026, 11:10 a.m.
Created at: April 9, 2026, 10:10 p.m.