Triple

T12851887
Position Surface form Disambiguated ID Type / Status
Subject Carlo Mauri E307342 entity
Predicate name P16 FINISHED
Object Carlo Mauri E307342 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: Carlo Mauri | Statement: [Carlo Mauri, name, Carlo Mauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Mauri
Context triple: [Carlo Mauri, name, Carlo Mauri]
  • A. Carlo Mauri chosen
    Carlo Mauri was an Italian mountaineer renowned for his pioneering high-altitude climbs in the Himalayas and other major mountain ranges.
  • B. Carlo Saraceni
    Carlo Saraceni was an Italian early Baroque painter known for his small-scale, Caravaggio-influenced works that combined dramatic chiaroscuro with refined Venetian color.
  • C. Carlo Agretti
    Carlo Agretti is a member of the fictional Gioberti family from the American television drama series "Falcon Crest."
  • D. Giulio Macchi
    Giulio Macchi was an Italian industrialist and aviation pioneer best known for establishing the aircraft manufacturing company Aeronautica Macchi.
  • E. Flaminio Bertoni
    Flaminio Bertoni was an Italian automobile designer and sculptor best known for creating several iconic Citroën models, including the Traction Avant, 2CV, and DS.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba79918819093e047ce22191923 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.