Triple
T11680181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yost |
E277593
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
David Yost
David Yost is an American actor best known for playing Billy Cranston, the original Blue Ranger, in the television series Mighty Morphin Power Rangers.
|
E940563
|
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: David Yost | Statement: [Yost, hasNotableBearer, David Yost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Yost Context triple: [Yost, hasNotableBearer, David Yost]
-
A.
David Stavens
David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
-
B.
Ron Yerxa
Ron Yerxa is an American film producer known for his work on acclaimed independent and studio films such as "Little Miss Sunshine," "Election," and "Cold Mountain."
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
John Landi
John Landi is an Australian entrepreneur best known for creating Coffs Harbour’s iconic “The Big Banana” tourist attraction.
-
E.
Sean F. Cox
Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
- 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: David Yost Triple: [Yost, hasNotableBearer, David Yost]
Generated description
David Yost is an American actor best known for playing Billy Cranston, the original Blue Ranger, in the television series Mighty Morphin Power Rangers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Yost Target entity description: David Yost is an American actor best known for playing Billy Cranston, the original Blue Ranger, in the television series Mighty Morphin Power Rangers.
-
A.
David Stavens
David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
-
B.
Ron Yerxa
Ron Yerxa is an American film producer known for his work on acclaimed independent and studio films such as "Little Miss Sunshine," "Election," and "Cold Mountain."
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
John Landi
John Landi is an Australian entrepreneur best known for creating Coffs Harbour’s iconic “The Big Banana” tourist attraction.
-
E.
Sean F. Cox
Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.