Triple

T11513278
Position Surface form Disambiguated ID Type / Status
Subject Arnaldo Forlani E272967 entity
Predicate familyName P18 FINISHED
Object Forlani E618688 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: Forlani | Statement: [Arnaldo Forlani, familyName, Forlani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forlani
Context triple: [Arnaldo Forlani, familyName, Forlani]
  • A. Forlani chosen
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • B. Lugbarati
    Lugbarati is an alternative name for the Lugbara language, a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and neighboring regions of the Democratic Republic of the Congo and South Sudan.
  • C. Turrivalignani
    Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
  • D. Faeto
    Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
  • E. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db8bf9c8190820c289e6b0c3873 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625143a608190a1119b30c08df0fd completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.