Triple
T4032531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford C. Frick Award |
E83747
|
entity |
| Predicate | hasNotableRecipient |
P108
|
FINISHED |
| Object |
Tom Cheek
Tom Cheek was a celebrated Canadian baseball broadcaster best known as the longtime radio voice of the Toronto Blue Jays.
|
E409040
|
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: Tom Cheek | Statement: [Ford C. Frick Award, hasNotableRecipient, Tom Cheek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cheek Context triple: [Ford C. Frick Award, hasNotableRecipient, Tom Cheek]
-
A.
Hank Cicalo
Hank Cicalo is a recording engineer best known for his work on influential rock and pop albums, including projects with artists like Carole King and The Monkees.
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Chris Lemmon
Chris Lemmon is an American actor and author, known for his work in film and television and for being the son of acclaimed actor Jack Lemmon.
-
D.
Jim Harrick
Jim Harrick is an American college basketball coach best known for leading UCLA to the 1995 NCAA championship.
-
E.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
- 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: Tom Cheek Triple: [Ford C. Frick Award, hasNotableRecipient, Tom Cheek]
Generated description
Tom Cheek was a celebrated Canadian baseball broadcaster best known as the longtime radio voice of the Toronto Blue Jays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Cheek Target entity description: Tom Cheek was a celebrated Canadian baseball broadcaster best known as the longtime radio voice of the Toronto Blue Jays.
-
A.
Hank Cicalo
Hank Cicalo is a recording engineer best known for his work on influential rock and pop albums, including projects with artists like Carole King and The Monkees.
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Chris Lemmon
Chris Lemmon is an American actor and author, known for his work in film and television and for being the son of acclaimed actor Jack Lemmon.
-
D.
Jim Harrick
Jim Harrick is an American college basketball coach best known for leading UCLA to the 1995 NCAA championship.
-
E.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55718acb88190a491e9654c1f1b7f |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55785a6b4819083737f26eb5db217 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 9, 2026, 3:36 p.m.