Triple
T13072108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Darling Buds of May |
E329481
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Rachel Bell
Rachel Bell is a British actress best known for her television work, including a prominent role in the popular comedy-drama series "The Darling Buds of May."
|
E1023770
|
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: Rachel Bell | Statement: [The Darling Buds of May, stars, Rachel Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Bell Context triple: [The Darling Buds of May, stars, Rachel Bell]
-
A.
Grace Calhoun
Grace Calhoun is a collegiate athletics administrator known for leading major university sports programs, including serving as athletic director for Brown University's Brown Bears.
-
B.
Emily Deschanel
Emily Deschanel is an American actress best known for starring as Dr. Temperance "Bones" Brennan on the long-running television series "Bones."
-
C.
Caroline Pitts
Caroline Pitts was the wife of U.S. Supreme Court Justice Henry Billings Brown.
-
D.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
E.
Abby Blodgett
Abby Blodgett is a person notable enough to be specifically cited as a bearer of the Blodgett surname.
- 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: Rachel Bell Triple: [The Darling Buds of May, stars, Rachel Bell]
Generated description
Rachel Bell is a British actress best known for her television work, including a prominent role in the popular comedy-drama series "The Darling Buds of May."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Bell Target entity description: Rachel Bell is a British actress best known for her television work, including a prominent role in the popular comedy-drama series "The Darling Buds of May."
-
A.
Grace Calhoun
Grace Calhoun is a collegiate athletics administrator known for leading major university sports programs, including serving as athletic director for Brown University's Brown Bears.
-
B.
Emily Deschanel
Emily Deschanel is an American actress best known for starring as Dr. Temperance "Bones" Brennan on the long-running television series "Bones."
-
C.
Caroline Pitts
Caroline Pitts was the wife of U.S. Supreme Court Justice Henry Billings Brown.
-
D.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
E.
Abby Blodgett
Abby Blodgett is a person notable enough to be specifically cited as a bearer of the Blodgett surname.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead460908190a566f5416e456aeb |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ee17be908190a11e00204df2cbf4 |
completed | May 3, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef02a6848190849876a0a6f32ffd |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 9 p.m.