Triple

T13369543
Position Surface form Disambiguated ID Type / Status
Subject Luigi Vanvitelli E319026 entity
Predicate name P16 FINISHED
Object Luigi Vanvitelli E319026 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: Luigi Vanvitelli | Statement: [Luigi Vanvitelli, name, Luigi Vanvitelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi Vanvitelli
Context triple: [Luigi Vanvitelli, name, Luigi Vanvitelli]
  • A. Luigi Vanvitelli chosen
    Luigi Vanvitelli was an 18th-century Italian architect and engineer best known for designing the monumental Royal Palace of Caserta near Naples.
  • B. Count Vincenzo Torlato-Favrini
    Count Vincenzo Torlato-Favrini is a fictional Italian nobleman who plays a central role in the romantic drama and intrigue surrounding the title character in the film "The Barefoot Contessa."
  • C. Carlo Siliotto
    Carlo Siliotto is an Italian composer best known for his evocative film scores for both European and Hollywood productions.
  • D. Ignazio La Russa
    Ignazio La Russa is an Italian right-wing politician and lawyer who has held prominent roles in national politics, including serving as President of the Senate.
  • E. 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."
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c288c08190af46fe7d114df338 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:33 p.m.