Triple

T11314844
Position Surface form Disambiguated ID Type / Status
Subject Cristel Carrisi E267938 entity
Predicate familyName P18 FINISHED
Object Carrisi E871555 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: Carrisi | Statement: [Cristel Carrisi, familyName, Carrisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrisi
Context triple: [Cristel Carrisi, familyName, Carrisi]
  • A. Carrisi chosen
    Carrisi is the Italian surname of renowned singer and actor Al Bano, associated with his long career in music and entertainment.
  • B. Casarico
    Casarico is a locality or hamlet that forms part of the municipality of Moltrasio in the Lombardy region of northern Italy.
  • C. Carovigno
    Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
  • D. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • E. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525c35538819085d76f7cdf362316 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.