Triple
T1516615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. G. Sulzberger |
E32134
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arthur
Arthur is the first name of A. G. Sulzberger, the American journalist and publisher of The New York Times.
|
E241018
|
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: Arthur | Statement: [A. G. Sulzberger, givenName, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [A. G. Sulzberger, givenName, Arthur]
-
A.
Arthur
Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
-
B.
Arthur
Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
-
C.
Arthur
Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
-
D.
Arthur
"Arthur" is a 1981 romantic comedy film starring Dudley Moore and Liza Minnelli, centered on a spoiled millionaire who must choose between an arranged marriage and true love.
-
E.
Arthur
Arthur is the given first name of the English novelist Evelyn Waugh, best known for works such as "Brideshead Revisited" and "A Handful of Dust."
- 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: Arthur Triple: [A. G. Sulzberger, givenName, Arthur]
Generated description
Arthur is the first name of A. G. Sulzberger, the American journalist and publisher of The New York Times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Target entity description: Arthur is the first name of A. G. Sulzberger, the American journalist and publisher of The New York Times.
-
A.
Arthur
Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
-
B.
Arthur
Arthur is the given first name of the English novelist Evelyn Waugh, best known for works such as "Brideshead Revisited" and "A Handful of Dust."
-
C.
Arthur
Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
-
D.
Arthur
chosen
Arthur is a masculine given name of Celtic origin, historically associated with legendary and royal figures, most famously King Arthur of Britain.
-
E.
Arthur
Arthur is the codename of the refined, high-ranking leader of the Kingsman organization in the action-spy film "Kingsman: The Secret Service."
- F. None of above.
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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f688148190bcc7c14372ce5bd1 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6adcef5881908cefd7d575b85323 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b31eccc81908fbcc80f72e65df8 |
completed | March 9, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6bd2856c81909033efe74039c258 |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.