Triple
T16386464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes Ruehl |
E397934
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
|
E1210318
|
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: Ruehl | Statement: [Mercedes Ruehl, familyName, Ruehl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruehl Context triple: [Mercedes Ruehl, familyName, Ruehl]
-
A.
Rhees
Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
-
B.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
C.
Van Kleiss
Van Kleiss is the primary antagonist in the animated series "Generator Rex," a brilliant but ruthless EVO scientist who seeks to control nanite-powered beings and reshape the world to his vision.
-
D.
Wuhl
Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
-
E.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
- 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: Ruehl Triple: [Mercedes Ruehl, familyName, Ruehl]
Generated description
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruehl Target entity description: Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
-
A.
Rhees
Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
-
B.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
C.
Van Kleiss
Van Kleiss is the primary antagonist in the animated series "Generator Rex," a brilliant but ruthless EVO scientist who seeks to control nanite-powered beings and reshape the world to his vision.
-
D.
Wuhl
Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
-
E.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356cf44081909133b599cfe9ed4a |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00369391a08190bb5521e2fcc839c6 |
completed | May 10, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00374326948190ae039bc689054387 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.