Triple

T3391487
Position Surface form Disambiguated ID Type / Status
Subject The Tempest E71428 entity
Predicate featuresCharacter P626 FINISHED
Object Stephano
Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
 E352330 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: Stephano | Statement: [The Tempest, featuresCharacter, Stephano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephano
Context triple: [The Tempest, featuresCharacter, Stephano]
  • A. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Jaquino
    Jaquino is a supporting character in Beethoven’s opera "Fidelio," typically portrayed as the young jailer in love with Marzelline.
  • C. Sylvanus
    Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
  • D. Timoteus
    Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
  • E. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • 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: Stephano
Triple: [The Tempest, featuresCharacter, Stephano]
Generated description
Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephano
Target entity description: Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • A. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Jaquino
    Jaquino is a supporting character in Beethoven’s opera "Fidelio," typically portrayed as the young jailer in love with Marzelline.
  • C. Sylvanus
    Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
  • D. Timoteus
    Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
  • E. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb850594c81909b6f8a384fc98cb2 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345bfbc88190b1189bef9f2cd73f completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b334addc90819096642bf6d1797c96 completed March 12, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69b3354354ac819092c5eda39ed888de completed March 12, 2026, 9:50 p.m.
Created at: March 8, 2026, 3:14 p.m.