Triple
T13104890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Donat |
E310818
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Donat
Donat is a surname most famously associated with Robert Donat, the Oscar-winning English actor known for classic films such as "Goodbye, Mr. Chips" and "The 39 Steps."
|
E1023014
|
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: Donat | Statement: [Robert Donat, familyName, Donat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donat Context triple: [Robert Donat, familyName, Donat]
-
A.
Donato
Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
-
B.
Donat Calas
Donat Calas was a French merchant whose controversial conviction and execution for murder in 1762 became a famous cause célèbre championed by Voltaire in the broader struggle against religious intolerance and judicial injustice.
-
C.
Sandro
Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
-
D.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
E.
Dore
The Dore is a river in central France that flows through the Massif Central before joining the Allier.
- 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: Donat Triple: [Robert Donat, familyName, Donat]
Generated description
Donat is a surname most famously associated with Robert Donat, the Oscar-winning English actor known for classic films such as "Goodbye, Mr. Chips" and "The 39 Steps."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donat Target entity description: Donat is a surname most famously associated with Robert Donat, the Oscar-winning English actor known for classic films such as "Goodbye, Mr. Chips" and "The 39 Steps."
-
A.
Donato
Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
-
B.
Donat Calas
Donat Calas was a French merchant whose controversial conviction and execution for murder in 1762 became a famous cause célèbre championed by Voltaire in the broader struggle against religious intolerance and judicial injustice.
-
C.
Sandro
Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
-
D.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
E.
Dore
The Dore is a river in central France that flows through the Massif Central before joining the Allier.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e49f9b2c8190adc17603ac326b94 |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 9:05 p.m.