Triple
T17903326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutina Wesley |
E447636
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jacob Fishel
Jacob Fishel is an American actor known for his work in film, television, and theater.
|
E1299937
|
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: Jacob Fishel | Statement: [Rutina Wesley, spouse, Jacob Fishel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Fishel Context triple: [Rutina Wesley, spouse, Jacob Fishel]
-
A.
Adam Kimmel
Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
-
B.
Jack Thomashefsky
Jack Thomashefsky was a member of the prominent Thomashefsky family associated with early 20th-century American Yiddish theater.
-
C.
Joshua Lewis
Joshua Lewis is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
D.
Jake Fischer
Jake Fischer is the young Coast Guard rescue swimmer trainee portrayed by Ashton Kutcher in the 2006 film "The Guardian."
-
E.
Matthew Garber
Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
- 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: Jacob Fishel Triple: [Rutina Wesley, spouse, Jacob Fishel]
Generated description
Jacob Fishel is an American actor known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacob Fishel Target entity description: Jacob Fishel is an American actor known for his work in film, television, and theater.
-
A.
Adam Kimmel
Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
-
B.
Jack Thomashefsky
Jack Thomashefsky was a member of the prominent Thomashefsky family associated with early 20th-century American Yiddish theater.
-
C.
Joshua Lewis
Joshua Lewis is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
D.
Jake Fischer
Jake Fischer is the young Coast Guard rescue swimmer trainee portrayed by Ashton Kutcher in the 2006 film "The Guardian."
-
E.
Matthew Garber
Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e99c3188190aead24cd3d48c7a7 |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03379bd8d08190b46a72df4502d95c |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca5e4c08190b7de8ab2d4fb8e3b |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033daf5b948190926f2925b8e3cc84 |
completed | May 12, 2026, 2:48 p.m. |
Created at: April 10, 2026, 10:19 a.m.