Triple
T20136474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverstein |
E491037
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Toby Silverstein
Toby Silverstein is an individual notable enough to be recognized as a bearer of the Silverstein surname, though specific widely known public details about them are not readily available.
|
E1414215
|
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: Toby Silverstein | Statement: [Silverstein, hasNotableBearer, Toby Silverstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Silverstein Context triple: [Silverstein, hasNotableBearer, Toby Silverstein]
-
A.
Toby Scott
Toby Scott is an American recording engineer and producer best known for his long-time collaboration with Bruce Springsteen on numerous albums and film soundtrack contributions.
-
B.
Toby Scott
Toby Scott is a writer known for his work on the Pet Shop Boys song "Love etc."
-
C.
Toby Damon
Toby Damon is a main character on the television drama "This Is Us," known as Kate Pearson's supportive and humorous husband.
-
D.
Toby Marks
Toby Marks is an actor known for appearing in the exploitation film "Caged Heat."
-
E.
Toby Kagan
Toby Kagan is a person notable enough to be recognized as a bearer of the surname Kagan.
- 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: Toby Silverstein Triple: [Silverstein, hasNotableBearer, Toby Silverstein]
Generated description
Toby Silverstein is an individual notable enough to be recognized as a bearer of the Silverstein surname, though specific widely known public details about them are not readily available.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toby Silverstein Target entity description: Toby Silverstein is an individual notable enough to be recognized as a bearer of the Silverstein surname, though specific widely known public details about them are not readily available.
-
A.
Toby Scott
Toby Scott is an American recording engineer and producer best known for his long-time collaboration with Bruce Springsteen on numerous albums and film soundtrack contributions.
-
B.
Toby Scott
Toby Scott is a writer known for his work on the Pet Shop Boys song "Love etc."
-
C.
Toby Damon
Toby Damon is a main character on the television drama "This Is Us," known as Kate Pearson's supportive and humorous husband.
-
D.
Toby Marks
Toby Marks is an actor known for appearing in the exploitation film "Caged Heat."
-
E.
Toby Kagan
Toby Kagan is a person notable enough to be recognized as a bearer of the surname Kagan.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66767ba3881909c2bcb74a986bd29 |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0834698e648190b00efb97fee345a2 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08353703b88190b8eef21650bad944 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0835c4c9f48190b4d568814729a7ca |
completed | May 16, 2026, 9:15 a.m. |
Created at: April 11, 2026, 11:32 p.m.