Triple

T13553581
Position Surface form Disambiguated ID Type / Status
Subject Giuditta Alghisi E323710 entity
Predicate hasSurname P18 FINISHED
Object Alghisi
Alghisi is an Italian surname associated with individuals such as Giuditta Alghisi.
E1047356 NE FINISHED

How this triple was built (4 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: Alghisi | Statement: [Giuditta Alghisi, hasSurname, Alghisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alghisi
Context triple: [Giuditta Alghisi, hasSurname, Alghisi]
  • A. Alghu
    Alghu was a 13th-century Mongol prince of the Borjigin clan who ruled parts of Central Asia as a Chagatai khan during the early Mongol Empire.
  • B. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • C. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • D. Ilghazi
    Ilghazi was a prominent 12th-century Artuqid Turkoman ruler and military commander known for his campaigns against the Crusader states and regional Christian powers in the Near East.
  • E. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alghisi
Triple: [Giuditta Alghisi, hasSurname, Alghisi]
Generated description
Alghisi is an Italian surname associated with individuals such as Giuditta Alghisi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alghisi
Target entity description: Alghisi is an Italian surname associated with individuals such as Giuditta Alghisi.
  • A. Alghu
    Alghu was a 13th-century Mongol prince of the Borjigin clan who ruled parts of Central Asia as a Chagatai khan during the early Mongol Empire.
  • B. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • C. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • D. Ilghazi
    Ilghazi was a prominent 12th-century Artuqid Turkoman ruler and military commander known for his campaigns against the Crusader states and regional Christian powers in the Near East.
  • E. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • F. None of above. chosen

Provenance (5 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:46 p.m.