Triple

T10025936
Position Surface form Disambiguated ID Type / Status
Subject Mosquitoes E200722 entity
Predicate hasCharacter P2308 FINISHED
Object Luke
Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
 E835184 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: Luke | Statement: [Mosquitoes, hasCharacter, Luke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luke
Context triple: [Mosquitoes, hasCharacter, Luke]
  • A. Luke
    Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
  • B. Luke
    Luke is a central character in James Baldwin’s play "The Amen Corner," serving as the estranged husband whose return forces the protagonist and her church community to confront painful truths about faith, family, and hypocrisy.
  • C. Luke
    Luke is a small town located in Allegany County, Maryland, known historically for its paper mill industry.
  • D. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • E. Luke
    Luke is the central protagonist of the film "Wicker Park," whose obsessive search for a lost love drives the movie’s romantic mystery plot.
  • 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: Luke
Triple: [Mosquitoes, hasCharacter, Luke]
Generated description
Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luke
Target entity description: Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
  • A. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • B. Luke
    Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
  • C. Luke
    Luke is the central protagonist of the film "Wicker Park," whose obsessive search for a lost love drives the movie’s romantic mystery plot.
  • D. Luke
    Luke is a central character in James Baldwin’s play "The Amen Corner," serving as the estranged husband whose return forces the protagonist and her church community to confront painful truths about faith, family, and hypocrisy.
  • E. Luke
    Luke is a small town located in Allegany County, Maryland, known historically for its paper mill industry.
  • 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.