Triple
T435729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Union |
E10006
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Jay Sugarman
Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
|
E150126
|
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: Jay Sugarman | Statement: [Philadelphia Union, chairman, Jay Sugarman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Sugarman Context triple: [Philadelphia Union, chairman, Jay Sugarman]
-
A.
Nathan Sugarman
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Mort Goldman
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
D.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
E.
Bruce Sherman
Bruce Sherman is an American businessman and investor best known as the principal owner and chairman of Major League Baseball’s Miami Marlins.
- 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: Jay Sugarman Triple: [Philadelphia Union, chairman, Jay Sugarman]
Generated description
Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Sugarman Target entity description: Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
-
A.
Nathan Sugarman
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Mort Goldman
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
D.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
E.
Bruce Sherman
Bruce Sherman is an American businessman and investor best known as the principal owner and chairman of Major League Baseball’s Miami Marlins.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbac916188190b850b247232887a2 |
completed | March 7, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69acbb6b51608190a90f63b6fdd51690 |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbdbab04819087b42477acbbb5f4 |
completed | March 7, 2026, 11:59 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.