Triple
T14714103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Banner |
E345631
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lavell
Lavell is the given first name of American rapper, record producer, and activist David Banner.
|
E1116430
|
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: Lavell | Statement: [David Banner, givenName, Lavell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavell Context triple: [David Banner, givenName, Lavell]
-
A.
Lovellette
Lovellette is the surname of Clyde Lovellette, a Hall of Fame American basketball player known for his collegiate success at Kansas and NBA career in the 1950s and 1960s.
-
B.
Verdell
Verdell is the small Brussels Griffon dog from the film "As Good as It Gets," known for softening the misanthropic character Melvin Udall.
-
C.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
-
D.
Labonte
Labonte is a surname most prominently associated with American NASCAR drivers Bobby and Terry Labonte.
-
E.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
- 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: Lavell Triple: [David Banner, givenName, Lavell]
Generated description
Lavell is the given first name of American rapper, record producer, and activist David Banner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lavell Target entity description: Lavell is the given first name of American rapper, record producer, and activist David Banner.
-
A.
Lovellette
Lovellette is the surname of Clyde Lovellette, a Hall of Fame American basketball player known for his collegiate success at Kansas and NBA career in the 1950s and 1960s.
-
B.
Verdell
Verdell is the small Brussels Griffon dog from the film "As Good as It Gets," known for softening the misanthropic character Melvin Udall.
-
C.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
-
D.
Labonte
Labonte is a surname most prominently associated with American NASCAR drivers Bobby and Terry Labonte.
-
E.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf3f89f088190ab745bddcc99a36c |
completed | May 8, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf47f265c8190a5494dcc7baf00fa |
completed | May 8, 2026, 2:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.