Triple

T15859351
Position Surface form Disambiguated ID Type / Status
Subject Luigi Longo E384540 entity
Predicate familyName P18 FINISHED
Object Longo E384540 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: Longo | Statement: [Luigi Longo, familyName, Longo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longo
Context triple: [Luigi Longo, familyName, Longo]
  • A. Longo chosen
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • B. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • C. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • D. Lungro
    Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
  • E. Uzun
    Uzun is the sobriquet of Uzun Hasan, a 15th-century ruler of the Aq Qoyunlu confederation known for his conflicts with the Ottoman Empire and efforts to expand his realm in Anatolia and Iran.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555a1f008190bb3f03b0f35ed8a4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.