Triple
T3057849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Wuhl |
E60523
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
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."
|
E323852
|
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: Wuhl | Statement: [Robert Wuhl, familyName, Wuhl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhl Context triple: [Robert Wuhl, familyName, Wuhl]
-
A.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
B.
Wilkin
Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
-
C.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
D.
Wahlberg
Wahlberg is a surname most prominently associated with American actor and producer Mark Wahlberg and his family.
-
E.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
- 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: Wuhl Triple: [Robert Wuhl, familyName, Wuhl]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuhl Target entity description: 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."
-
A.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
B.
Wilkin
Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
-
C.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
D.
Wahlberg
Wahlberg is a surname most prominently associated with American actor and producer Mark Wahlberg and his family.
-
E.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e162d148190969fb422a45d052c |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0903cc81909a073fe78dbf0b14 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efb655688190a70e23325d734601 |
completed | March 11, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f080d57c819089fed4e128e39440 |
completed | March 11, 2026, 10:45 p.m. |
Created at: March 8, 2026, 3:02 p.m.