Triple

T7559712
Position Surface form Disambiguated ID Type / Status
Subject Lino E178762 entity
Predicate hasVariantForm P457 FINISHED
Object Angelino E34007 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: Angelino | Statement: [Lino, hasVariantForm, Angelino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelino
Context triple: [Lino, hasVariantForm, Angelino]
  • A. Angelo chosen
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • B. Montardo
    Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
  • C. Altiero
    Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
  • D. Nicolangelo Carnimeo
    Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
  • E. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870780d24819095196cd3a22bec5a completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:50 p.m.