Triple

T10595624
Position Surface form Disambiguated ID Type / Status
Subject SFB E250104 entity
Predicate foundedBy P104 FINISHED
Object Gaetano Merola E632135 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: Gaetano Merola | Statement: [SFB, foundedBy, Gaetano Merola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaetano Merola
Context triple: [SFB, foundedBy, Gaetano Merola]
  • A. Gaetano Merola chosen
    Gaetano Merola was an Italian-born conductor and impresario best known for establishing and leading the San Francisco Opera as its first general director.
  • B. Vincenzo Tomassi
    Vincenzo Tomassi is a film editor known for his work on genre and horror films, including the early James Cameron–associated movie "Piranha II: The Spawning."
  • C. Gaetano Russo
    Gaetano Russo was an Italian sculptor best known for creating prominent public monuments in the late 19th and early 20th centuries.
  • D. Giuseppe Palmieri
    Giuseppe Palmieri is one of the central gondolier protagonists in Gilbert and Sullivan’s comic opera "The Gondoliers," known for his role in the opera’s mistaken-identity and royal-inheritance plot.
  • E. Giuseppe Marrucci
    Giuseppe Marrucci is a distinguished scientist in the field of rheology and polymer science, recognized for his influential theoretical and experimental contributions.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278cbf9081909ef419b0144d5019 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
Created at: April 6, 2026, 12:41 p.m.