Triple
T7878294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Rapids Griffins |
E182911
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Griffins |
E182911
|
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: Griffins | Statement: [Grand Rapids Griffins, shortName, Griffins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Griffins Context triple: [Grand Rapids Griffins, shortName, Griffins]
-
A.
Griffins
The Griffins are the athletic teams representing Seton Hill University in collegiate sports competitions.
-
B.
Griffins
chosen
Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
C.
Gryphons
The Gryphons are the varsity athletic teams representing the University of Guelph in Canadian university sports competitions.
-
D.
Griffen
Griffen is the married surname of Iris Chase, the protagonist of Margaret Atwood’s novel "The Blind Assassin."
-
E.
Gryffin
Gryffin is an American DJ, record producer, and musician known for his melodic house tracks and remixes that blend electronic and pop elements.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bd64e481909f699e7dd2818b8f |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b7fef308190bbc74e13f4205192 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:57 p.m.