Triple

T2664569
Position Surface form Disambiguated ID Type / Status
Subject John E55602 entity
Predicate hasVariant P455 FINISHED
Object Shawn
Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
 E289134 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: Shawn | Statement: [John, hasVariant, Shawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shawn
Context triple: [John, hasVariant, Shawn]
  • A. Shawn Matthews
    Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
  • B. Shaun
    Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
  • C. Shawn Hatosy
    Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
  • D. Travis
    Travis is a Scottish rock band known for their melodic, introspective songs that helped shape the late-1990s and early-2000s Britpop and post-Britpop sound.
  • E. Travis
    Travis is a neighborhood on the western shore of Staten Island in New York City, known for its residential character and proximity to the Staten Island Expressway and Arthur Kill.
  • 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: Shawn
Triple: [John, hasVariant, Shawn]
Generated description
Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shawn
Target entity description: Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
  • A. Shawn Matthews
    Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
  • B. Shaun
    Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
  • C. Shawn Hatosy
    Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
  • D. Travis
    Travis is a Scottish rock band known for their melodic, introspective songs that helped shape the late-1990s and early-2000s Britpop and post-Britpop sound.
  • E. Travis
    Travis is a neighborhood on the western shore of Staten Island in New York City, known for its residential character and proximity to the Staten Island Expressway and Arthur Kill.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96dba44819085c3e651afba7806 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa056f478819091f6751edfee0132 completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa12b8d388190a50de5f41c0fa782 completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa4e2f56c8190a418aef660da8e12 completed March 10, 2026, 4:58 a.m.
Created at: March 6, 2026, 9:54 p.m.