Triple
T16497501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Shriner |
E400721
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Van Stone
Van Stone is a comedic rock band known for its outrageous stage antics and humorous, over-the-top performances.
|
E1216276
|
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: Van Stone | Statement: [Scott Shriner, associatedAct, Van Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Stone Context triple: [Scott Shriner, associatedAct, Van Stone]
-
A.
Jon Stone
Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
-
B.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
-
C.
Jeff Stone
Jeff Stone is the teenage son in the classic American sitcom "The Donna Reed Show," known for his wholesome, all-American boy persona.
-
D.
Adam Stone
Adam Stone is a cinematographer known for his visually striking work on films such as "Mud."
-
E.
Peter Stone
Peter Stone was an American screenwriter and playwright best known for crafting witty, sophisticated scripts for films such as "Charade" and the musical "1776."
- 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: Van Stone Triple: [Scott Shriner, associatedAct, Van Stone]
Generated description
Van Stone is a comedic rock band known for its outrageous stage antics and humorous, over-the-top performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Van Stone Target entity description: Van Stone is a comedic rock band known for its outrageous stage antics and humorous, over-the-top performances.
-
A.
Jon Stone
Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
-
B.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
-
C.
Jeff Stone
Jeff Stone is the teenage son in the classic American sitcom "The Donna Reed Show," known for his wholesome, all-American boy persona.
-
D.
Adam Stone
Adam Stone is a cinematographer known for his visually striking work on films such as "Mud."
-
E.
Peter Stone
Peter Stone was an American screenwriter and playwright best known for crafting witty, sophisticated scripts for films such as "Charade" and the musical "1776."
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059bf355c81909d6796482fe7f3e3 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.