Triple
T17146387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Gruden |
E416101
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Deuce Gruden |
E110725
|
NE FINISHED |
How this triple was built (2 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: Deuce Gruden | Statement: [Jay Gruden, relative, Deuce Gruden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deuce Gruden Context triple: [Jay Gruden, relative, Deuce Gruden]
-
A.
Evan McCauley
Evan McCauley is the protagonist of the science fiction film "Infinite," a man who discovers he has memories and skills from multiple past lives.
-
B.
Jon Gruden
chosen
Jon Gruden is an American football coach and former broadcaster best known for leading the Tampa Bay Buccaneers to a Super Bowl title and later serving as head coach of the Oakland/Las Vegas Raiders.
-
C.
Mark Griskey
Mark Griskey is a video game music composer best known for his work on major Star Wars titles, including Star Wars: The Old Republic.
-
D.
Dilfer
Dilfer is the surname of former NFL quarterback and Super Bowl champion Trent Dilfer.
-
E.
Ed Brown
Ed Brown is a fictional police detective and close associate of wheelchair-bound Chief Inspector Robert T. Ironside in the classic American television crime drama "Ironside."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014158ed8c8190adb3c03c8a114a59 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.