Triple
T4948704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matty |
E111113
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Big Six |
E39538
|
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: The Big Six | Statement: [Matty, alsoKnownAs, The Big Six]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Six Context triple: [Matty, alsoKnownAs, The Big Six]
-
A.
The Great Eight
The Great Eight is the famous nickname of Russian ice hockey superstar Alex Ovechkin, one of the most prolific goal scorers in NHL history.
-
B.
The Eleven
The Eleven is the nickname of Indy Eleven, a professional soccer club based in Indianapolis that competes in the USL Championship.
-
C.
The Big Ticket
The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
-
D.
The Big Box
The Big Box is a children's book by Toni Morrison that explores themes of freedom and control through the story of three kids who are confined to a special room despite their good behavior.
-
E.
Big Six
chosen
Big Six was the informal name for the Athletic Association of Western Universities, a former NCAA athletic conference composed primarily of major universities on the West Coast of the United States.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77ca47b481909de9b270f2a2a7af |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.