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.