Triple
T20073884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IZOD Center |
E499807
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Grad Partnership |
—
|
NE NERFINISHED |
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: Grad Partnership | Statement: [IZOD Center, architect, Grad Partnership]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grad Partnership Context triple: [IZOD Center, architect, Grad Partnership]
-
A.
Grad Partnership
chosen
Grad Partnership is an architectural firm known for designing major public venues, including large sports and entertainment arenas.
-
B.
Grado
Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
-
C.
Grade
Grade is a surname most notably associated with Chaim Grade, a prominent Yiddish novelist and poet.
-
D.
Higher Learning
Higher Learning is a critically acclaimed mixtape by rapper Fashawn that helped establish his reputation in the underground hip-hop scene.
-
E.
Higher Learning
Higher Learning is a 1995 drama film written and directed by John Singleton that explores race, identity, and violence on a college campus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66439efe881909a068c3f05022421 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.