Triple
T6463802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Michael Kay Show |
E142183
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | New York Knicks |
E476
|
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: New York Knicks | Statement: [The Michael Kay Show, subject, New York Knicks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York Knicks Context triple: [The Michael Kay Show, subject, New York Knicks]
-
A.
New York Knicks
chosen
The New York Knicks are a professional basketball team based in New York City that competes in the NBA’s Eastern Conference and plays its home games at Madison Square Garden.
-
B.
Westchester Knicks
The Westchester Knicks are an American professional basketball team that serves as the NBA G League affiliate of the New York Knicks.
-
C.
Syracuse Mets
The Syracuse Mets are a Minor League Baseball team and Triple-A affiliate of the New York Mets based in Syracuse, New York.
-
D.
Brooklyn Nets
The Brooklyn Nets are a professional basketball team in the NBA based in the borough of Brooklyn.
-
E.
Boston Celtics
The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:49 p.m.