Triple
T13805061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Roker |
E331737
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Nicholas Albert Roker
Nicholas Albert Roker is the son of American television weather presenter and personality Al Roker.
|
E1061885
|
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: Nicholas Albert Roker | Statement: [Al Roker, child, Nicholas Albert Roker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Albert Roker Context triple: [Al Roker, child, Nicholas Albert Roker]
-
A.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
B.
Nicholas Heath
Nicholas Heath was an English clergyman and statesman who served as Archbishop of York and Lord Chancellor under Queen Mary I during the 16th century.
-
C.
Nicholas Bill
Nicholas Bill is one of the children of American film producer, director, and actor Tony Bill.
-
D.
Nicholas Butt
Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
-
E.
Nicholas Okes
Nicholas Okes was a prominent early 17th-century London printer known for producing important works of English Renaissance drama and literature.
- 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: Nicholas Albert Roker Triple: [Al Roker, child, Nicholas Albert Roker]
Generated description
Nicholas Albert Roker is the son of American television weather presenter and personality Al Roker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Albert Roker Target entity description: Nicholas Albert Roker is the son of American television weather presenter and personality Al Roker.
-
A.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
B.
Nicholas Heath
Nicholas Heath was an English clergyman and statesman who served as Archbishop of York and Lord Chancellor under Queen Mary I during the 16th century.
-
C.
Nicholas Bill
Nicholas Bill is one of the children of American film producer, director, and actor Tony Bill.
-
D.
Nicholas Butt
Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
-
E.
Nicholas Okes
Nicholas Okes was a prominent early 17th-century London printer known for producing important works of English Renaissance drama and literature.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b18bbe688190855a26b8f2b4bcc0 |
completed | May 3, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b260fc6c8190a573cc525388878e |
completed | May 3, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:12 p.m.