Triple
T10538497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Bond Lambert |
E248632
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hazel Bliss
Hazel Bliss was the wife of American aviator and businessman Albert Bond Lambert, associated with early 20th-century St. Louis society.
|
E882400
|
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: Hazel Bliss | Statement: [Albert Bond Lambert, spouse, Hazel Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Bliss Context triple: [Albert Bond Lambert, spouse, Hazel Bliss]
-
A.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
B.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
C.
Hazel Keener
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
-
D.
Hazel Dorothy Scott
Hazel Dorothy Scott was a Trinidadian-American jazz and classical pianist, singer, and civil rights activist renowned for her virtuosic performances and trailblazing presence in film and television.
-
E.
Daisy Haggard
Daisy Haggard is a British actress and writer best known for her roles in television comedies such as "Episodes," "Back to Life," and "Breeders."
- 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: Hazel Bliss Triple: [Albert Bond Lambert, spouse, Hazel Bliss]
Generated description
Hazel Bliss was the wife of American aviator and businessman Albert Bond Lambert, associated with early 20th-century St. Louis society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazel Bliss Target entity description: Hazel Bliss was the wife of American aviator and businessman Albert Bond Lambert, associated with early 20th-century St. Louis society.
-
A.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
B.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
C.
Hazel Keener
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
-
D.
Hazel Dorothy Scott
Hazel Dorothy Scott was a Trinidadian-American jazz and classical pianist, singer, and civil rights activist renowned for her virtuosic performances and trailblazing presence in film and television.
-
E.
Daisy Haggard
Daisy Haggard is a British actress and writer best known for her roles in television comedies such as "Episodes," "Back to Life," and "Breeders."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a56133c819088285522e64831f7 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd966f0f08190a60ca3bcf0e08e98 |
completed | April 12, 2026, 5:41 p.m. |
| NEDg | Description generation | batch_69dcad07b51081908fd66ee9ff7341f6 |
completed | April 13, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dd4386e3308190bb8503ce75fa628f |
completed | April 13, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:31 p.m.