Triple

T8449986
Position Surface form Disambiguated ID Type / Status
Subject Jitney E199775 entity
Predicate featuresCharacter P626 FINISHED
Object Turnbo
Turnbo is a talkative, meddlesome jitney station regular in August Wilson’s play "Jitney," known for his gossiping and comic relief.
E735074 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: Turnbo | Statement: [Jitney, featuresCharacter, Turnbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turnbo
Context triple: [Jitney, featuresCharacter, Turnbo]
  • A. Tunner
    Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
  • B. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • C. Trai
    Trai is an American actor best known for his role as Andre Lyon on the television series "Empire."
  • D. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • E. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • 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: Turnbo
Triple: [Jitney, featuresCharacter, Turnbo]
Generated description
Turnbo is a talkative, meddlesome jitney station regular in August Wilson’s play "Jitney," known for his gossiping and comic relief.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turnbo
Target entity description: Turnbo is a talkative, meddlesome jitney station regular in August Wilson’s play "Jitney," known for his gossiping and comic relief.
  • A. Tunner
    Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
  • B. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • C. Trai
    Trai is an American actor best known for his role as Andre Lyon on the television series "Empire."
  • D. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • E. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1f88d404819096c6024c0e61d1ea completed April 2, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:09 p.m.