Triple
T9585828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Dodgers (NFL) |
E231285
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Dan Topping
Dan Topping was an American sports executive best known as a co-owner and president of the New York Yankees during their mid-20th-century dynasty.
|
E809072
|
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: Dan Topping | Statement: [Brooklyn Dodgers (NFL), owner, Dan Topping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Topping Context triple: [Brooklyn Dodgers (NFL), owner, Dan Topping]
-
A.
Justin Tipping
Justin Tipping is an American filmmaker and screenwriter known for his character-driven independent films and television work.
-
B.
Nick Thorpe
Nick Thorpe is a British journalist and author best known as a long-serving Central Europe correspondent for the BBC.
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Trevor Johnston
Trevor Johnston is an Australian linguist renowned for his pioneering research and documentation of Auslan, the sign language of the Australian Deaf community.
-
E.
Jenno Topping
Jenno Topping is an American film and television producer known for her work on a range of major studio features and acclaimed dramas.
- 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: Dan Topping Triple: [Brooklyn Dodgers (NFL), owner, Dan Topping]
Generated description
Dan Topping was an American sports executive best known as a co-owner and president of the New York Yankees during their mid-20th-century dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Topping Target entity description: Dan Topping was an American sports executive best known as a co-owner and president of the New York Yankees during their mid-20th-century dynasty.
-
A.
Justin Tipping
Justin Tipping is an American filmmaker and screenwriter known for his character-driven independent films and television work.
-
B.
Nick Thorpe
Nick Thorpe is a British journalist and author best known as a long-serving Central Europe correspondent for the BBC.
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Trevor Johnston
Trevor Johnston is an Australian linguist renowned for his pioneering research and documentation of Auslan, the sign language of the Australian Deaf community.
-
E.
Jenno Topping
Jenno Topping is an American film and television producer known for her work on a range of major studio features and acclaimed dramas.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99edc2c08190b67b40f6214d46f1 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1617cd02c8190a1efbeb5bad0e48e |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d1624400b8819085b1c1a93cddc3f6 |
completed | April 4, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d162b39c888190ae71b05ee2e132a8 |
completed | April 4, 2026, 7:12 p.m. |
Created at: March 30, 2026, 8:06 p.m.