Triple

T8827991
Position Surface form Disambiguated ID Type / Status
Subject Natasha Romanoff E210063 entity
Predicate createdBy P806 FINISHED
Object Don Rico
Don Rico was an American comic book writer and artist best known for his early work at Marvel Comics, including co-creating the character Natasha Romanoff (Black Widow).
 E760522 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: Don Rico | Statement: [Natasha Romanoff, createdBy, Don Rico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Rico
Context triple: [Natasha Romanoff, createdBy, Don Rico]
  • A. Cairoli
    Cairoli is an Italian surname most notably associated with Benedetto Cairoli, a 19th-century Italian statesman and patriot.
  • B. Doncello
    Doncello is a municipality located in the Caquetá Department of southern Colombia, known for its agricultural activities and position within the Amazonian foothills.
  • C. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • D. Capannoli
    Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
  • E. Locana
    Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
  • 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: Don Rico
Triple: [Natasha Romanoff, createdBy, Don Rico]
Generated description
Don Rico was an American comic book writer and artist best known for his early work at Marvel Comics, including co-creating the character Natasha Romanoff (Black Widow).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Rico
Target entity description: Don Rico was an American comic book writer and artist best known for his early work at Marvel Comics, including co-creating the character Natasha Romanoff (Black Widow).
  • A. Cairoli
    Cairoli is an Italian surname most notably associated with Benedetto Cairoli, a 19th-century Italian statesman and patriot.
  • B. Doncello
    Doncello is a municipality located in the Caquetá Department of southern Colombia, known for its agricultural activities and position within the Amazonian foothills.
  • C. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • D. Capannoli
    Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
  • E. Locana
    Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ac0288190b59344bced8ac733 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf895a766c81908f41e369afb05023 completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:47 p.m.