Triple
T1086393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence of Arabia |
E24060
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object |
Freddie Young
Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
|
E141366
|
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: Freddie Young | Statement: [Lawrence of Arabia, cinematographer, Freddie Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freddie Young Context triple: [Lawrence of Arabia, cinematographer, Freddie Young]
-
A.
Freddie O’Connell
Freddie O’Connell is an American politician who serves as the mayor of Nashville, Tennessee.
-
B.
Freddie Heerdegen
Freddie Heerdegen is the son of American actress Christina Ricci and her former husband James Heerdegen.
-
C.
Frederick Erroll
Frederick Erroll was a British Conservative politician and businessman who held several senior government posts in the mid-20th century, later becoming a life peer as Baron Erroll of Hale.
-
D.
Elliott Frost
Elliott Frost was one of the children of renowned American poet Robert Frost.
-
E.
Freddie
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
- 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: Freddie Young Triple: [Lawrence of Arabia, cinematographer, Freddie Young]
Generated description
Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freddie Young Target entity description: Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
-
A.
Freddie O’Connell
Freddie O’Connell is an American politician who serves as the mayor of Nashville, Tennessee.
-
B.
Freddie Heerdegen
Freddie Heerdegen is the son of American actress Christina Ricci and her former husband James Heerdegen.
-
C.
Frederick Erroll
Frederick Erroll was a British Conservative politician and businessman who held several senior government posts in the mid-20th century, later becoming a life peer as Baron Erroll of Hale.
-
D.
Elliott Frost
Elliott Frost was one of the children of renowned American poet Robert Frost.
-
E.
Freddie
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac89fd91208190ac962ec7059f716b |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8becbbe48190a12b3814982c5c8f |
completed | March 7, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8c471754819096bcca9fea985a9f |
completed | March 7, 2026, 8:36 p.m. |
Created at: March 1, 2026, 7:42 p.m.