Triple

T8030225
Position Surface form Disambiguated ID Type / Status
Subject San Bernardinian E186957 entity
Predicate contrastsWith P278 FINISHED
Object Angelino
Angelino is an informal term for a resident of Los Angeles, California.
 E706274 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: Angelino | Statement: [San Bernardinian, contrastsWith, Angelino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angelino
Context triple: [San Bernardinian, contrastsWith, Angelino]
  • A. Angelo
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • B. Montardo
    Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
  • C. Altiero
    Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
  • D. Nicolangelo Carnimeo
    Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
  • E. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • 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: Angelino
Triple: [San Bernardinian, contrastsWith, Angelino]
Generated description
Angelino is an informal term for a resident of Los Angeles, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angelino
Target entity description: Angelino is an informal term for a resident of Los Angeles, California.
  • A. Angelo
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • B. Montardo
    Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
  • C. Altiero
    Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
  • D. Nicolangelo Carnimeo
    Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
  • E. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecf0f2c819091899211003c461e completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e146048190a97b3b37d1eec0b8 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbf8278819085ff32a0494d544e completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:22 p.m.