Triple
T7555493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derrick Rose |
E178654
|
entity |
| Predicate | teamCity |
P7424
|
FINISHED |
| Object | New York (for New York Knicks) |
E40
|
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 (for New York Knicks) | Statement: [Derrick Rose, teamCity, New York (for New York Knicks)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York (for New York Knicks) Context triple: [Derrick Rose, teamCity, New York (for New York Knicks)]
-
A.
New York-New York
New York-New York is a New York City–themed hotel and casino located on the Las Vegas Strip, known for its replica skyline and entertainment offerings.
-
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.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
-
D.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
E.
New York City
chosen
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.