Triple

T10025933
Position Surface form Disambiguated ID Type / Status
Subject Mosquitoes E200722 entity
Predicate hasCharacter P2308 FINISHED
Object Alice
Alice is a fictional character associated with mosquitoes, likely personifying or representing them in a narrative or creative context.
 E835183 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: Alice | Statement: [Mosquitoes, hasCharacter, Alice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alice
Context triple: [Mosquitoes, hasCharacter, Alice]
  • A. Alice
    Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
  • B. Alice
    Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
  • C. Alice
    Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
  • D. Alice
    Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
  • E. Alice
    Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
  • 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: Alice
Triple: [Mosquitoes, hasCharacter, Alice]
Generated description
Alice is a fictional character associated with mosquitoes, likely personifying or representing them in a narrative or creative context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alice
Target entity description: Alice is a fictional character associated with mosquitoes, likely personifying or representing them in a narrative or creative context.
  • A. Alice
    Alice is the superhuman protagonist of the Resident Evil film series, known for battling bioengineered monsters and the Umbrella Corporation in a post-apocalyptic world.
  • B. Alice
    Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
  • C. Alice
    Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
  • D. Alice
    Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
  • E. Alice
    Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b9212108190bb3cbb6c4c76073f completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c10eae88190a972fdb7425fd01a completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:53 p.m.