Triple

T10343408
Position Surface form Disambiguated ID Type / Status
Subject Angela Alioto E243681 entity
Predicate familyName P18 FINISHED
Object Alioto
Alioto is an Italian-origin surname notably associated with a prominent political family in San Francisco, including former mayor Joseph Alioto and civil rights attorney Angela Alioto.
 E858353 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: Alioto | Statement: [Angela Alioto, familyName, Alioto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alioto
Context triple: [Angela Alioto, familyName, Alioto]
  • A. Alijó
    Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
  • B. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • C. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Alfo
    Alfo is a shortened, informal given name typically used as a nickname for Alfonso.
  • 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: Alioto
Triple: [Angela Alioto, familyName, Alioto]
Generated description
Alioto is an Italian-origin surname notably associated with a prominent political family in San Francisco, including former mayor Joseph Alioto and civil rights attorney Angela Alioto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alioto
Target entity description: Alioto is an Italian-origin surname notably associated with a prominent political family in San Francisco, including former mayor Joseph Alioto and civil rights attorney Angela Alioto.
  • A. Alijó
    Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
  • B. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • C. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Alfo
    Alfo is a shortened, informal given name typically used as a nickname for Alfonso.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75077dfbc81908de29aac1a3bb19f completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d7618c9abc819080c4d6669dfb8320 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d7702ae24481908b0f5319413e81d4 completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:55 a.m.