Triple
T1212664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Fry |
E26035
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Pamela Fry
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
|
E357747
|
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: Pamela Fry | Statement: [Roger Fry, child, Pamela Fry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Fry Context triple: [Roger Fry, child, Pamela Fry]
-
A.
Pamela Gillies
Pamela Gillies is a Scottish academic and public health expert who has served as the principal and vice-chancellor of Glasgow Caledonian University.
-
B.
Pamela Munro
Pamela Munro is an American linguist known for her extensive work documenting and analyzing Indigenous languages of the Americas, including the Maricopa language.
-
C.
Pamela Evette
Pamela Evette is an American businesswoman and Republican politician who serves as the lieutenant governor of South Carolina.
-
D.
Lorraine Broughton
Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
-
E.
Joanna Pettet
Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
- 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: Pamela Fry Triple: [Roger Fry, child, Pamela Fry]
Generated description
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Fry Target entity description: Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
-
A.
Pamela Gillies
Pamela Gillies is a Scottish academic and public health expert who has served as the principal and vice-chancellor of Glasgow Caledonian University.
-
B.
Pamela Munro
Pamela Munro is an American linguist known for her extensive work documenting and analyzing Indigenous languages of the Americas, including the Maricopa language.
-
C.
Pamela Evette
Pamela Evette is an American businesswoman and Republican politician who serves as the lieutenant governor of South Carolina.
-
D.
Lorraine Broughton
Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
-
E.
Joanna Pettet
Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35449d84c819082e1a1aefc7234c5 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b3583fd35481909500b9feaec9977f |
completed | March 13, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b35949fe048190a78a7c0b303e20e6 |
completed | March 13, 2026, 12:24 a.m. |
Created at: March 1, 2026, 7:46 p.m.