Triple
T10710952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Blondell |
E252533
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Blondell
Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
|
E880952
|
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: Blondell | Statement: [Joan Blondell, familyName, Blondell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blondell Context triple: [Joan Blondell, familyName, Blondell]
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
-
C.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
D.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
E.
Hielan’ Laddie
Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
- 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: Blondell Triple: [Joan Blondell, familyName, Blondell]
Generated description
Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blondell Target entity description: Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
-
C.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
D.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
E.
Hielan’ Laddie
Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9990f220081909dae41bcec8b4768 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.