Triple
T18226390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Game of the Week |
E436432
|
entity |
| Predicate | narrationBy |
P2181
|
FINISHED |
| Object |
Joe Tucker
Joe Tucker is a sportscaster known for providing play-by-play commentary and narration for National Football League broadcasts.
|
E1314599
|
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: Joe Tucker | Statement: [NFL Game of the Week, narrationBy, Joe Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Tucker Context triple: [NFL Game of the Week, narrationBy, Joe Tucker]
-
A.
Joe Tucker
Joe Tucker is an actor known for his role in the British film "Career Girls."
-
B.
Dick Tipton
Dick Tipton is a reformed street urchin in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy," who becomes a loyal friend and ally to the young protagonist.
-
C.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
D.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
E.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
- 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: Joe Tucker Triple: [NFL Game of the Week, narrationBy, Joe Tucker]
Generated description
Joe Tucker is a sportscaster known for providing play-by-play commentary and narration for National Football League broadcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Tucker Target entity description: Joe Tucker is a sportscaster known for providing play-by-play commentary and narration for National Football League broadcasts.
-
A.
Joe Tucker
Joe Tucker is an actor known for his role in the British film "Career Girls."
-
B.
Dick Tipton
Dick Tipton is a reformed street urchin in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy," who becomes a loyal friend and ally to the young protagonist.
-
C.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
D.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
E.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac651d3481908651893456104d96 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad9fce588190aefc253355b124de |
completed | May 12, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03aebcd61881909e1c69427502ecc1 |
completed | May 12, 2026, 10:50 p.m. |
Created at: April 10, 2026, 10:32 a.m.