Triple
T4525797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lazenby |
E103373
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jenna Lazenby
Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
|
E525344
|
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: Jenna Lazenby | Statement: [George Lazenby, hasChild, Jenna Lazenby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenna Lazenby Context triple: [George Lazenby, hasChild, Jenna Lazenby]
-
A.
Jenna Ward
Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
-
B.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
C.
Jenna Auriemma
Jenna Auriemma is the daughter of legendary University of Connecticut women's basketball coach Geno Auriemma.
-
D.
Jenn Lyon
Jenn Lyon is an American actress known for her work in television, film, and theater, including roles in series like "Claws" and various stage productions.
-
E.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
- 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: Jenna Lazenby Triple: [George Lazenby, hasChild, Jenna Lazenby]
Generated description
Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenna Lazenby Target entity description: Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
-
A.
Jenna Ward
Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
-
B.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
C.
Jenna Auriemma
Jenna Auriemma is the daughter of legendary University of Connecticut women's basketball coach Geno Auriemma.
-
D.
Jenn Lyon
Jenn Lyon is an American actress known for her work in television, film, and theater, including roles in series like "Claws" and various stage productions.
-
E.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf88d99da08190996996079b947498 |
completed | March 22, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69bf894ab574819099d492e61647002a |
completed | March 22, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf89e673e0819095e1ed3e45c27ac7 |
completed | March 22, 2026, 6:19 a.m. |
Created at: March 20, 2026, 1:03 p.m.