Triple
T12022279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 U.S. Open Cup Final |
E286180
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object |
Ted Unkel
Ted Unkel is an American professional soccer referee who has officiated in Major League Soccer and prominent domestic cup competitions.
|
E959630
|
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: Ted Unkel | Statement: [2015 U.S. Open Cup Final, referee, Ted Unkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Unkel Context triple: [2015 U.S. Open Cup Final, referee, Ted Unkel]
-
A.
Jim Uhls
Jim Uhls is an American screenwriter best known for adapting Chuck Palahniuk’s novel into the cult film "Fight Club."
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Cliff Unger
Cliff Unger is a central character in the video game "Death Stranding," portrayed as a tragic former soldier whose emotional connection to his child drives much of the game's narrative.
-
D.
Ted Mundorff
Ted Mundorff is a film industry executive and producer best known for his work on the financial thriller "Margin Call."
-
E.
Dale Eunson
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
- 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: Ted Unkel Triple: [2015 U.S. Open Cup Final, referee, Ted Unkel]
Generated description
Ted Unkel is an American professional soccer referee who has officiated in Major League Soccer and prominent domestic cup competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Unkel Target entity description: Ted Unkel is an American professional soccer referee who has officiated in Major League Soccer and prominent domestic cup competitions.
-
A.
Jim Uhls
Jim Uhls is an American screenwriter best known for adapting Chuck Palahniuk’s novel into the cult film "Fight Club."
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Cliff Unger
Cliff Unger is a central character in the video game "Death Stranding," portrayed as a tragic former soldier whose emotional connection to his child drives much of the game's narrative.
-
D.
Ted Mundorff
Ted Mundorff is a film industry executive and producer best known for his work on the financial thriller "Margin Call."
-
E.
Dale Eunson
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f48fc7a8848190a06b34cc45db4789 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495f069c48190a6e5856c272420c0 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.