Triple
T13277363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Dutchmen football |
E316225
|
entity |
| Predicate | teamNickName |
P5076
|
FINISHED |
| Object | Dutchmen |
E123624
|
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: Dutchmen | Statement: [Union Dutchmen football, teamNickName, Dutchmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dutchmen Context triple: [Union Dutchmen football, teamNickName, Dutchmen]
-
A.
Dutchmen
chosen
The Dutchmen is the nickname for the athletic teams representing Union College in collegiate sports.
-
B.
Dutchmen
Dutchmen is the nickname and mascot representing the athletic teams of Hope College in Holland, Michigan.
-
C.
Dutchmen
The Dutchmen are the athletic teams and mascot identity representing Lebanon Valley College in collegiate sports.
-
D.
Mackmen
The Mackmen was a nickname for the early 20th-century Philadelphia Athletics baseball team, derived from their legendary manager Connie Mack.
-
E.
Fulks
Fulks is a surname most notably associated with early professional basketball star Joe Fulks, a pioneering scorer in the Basketball Association of America.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.