Triple
T14769920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Mallards |
E347101
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Mallards |
E347101
|
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: Mallards | Statement: [Madison Mallards, hasNickname, Mallards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallards Context triple: [Madison Mallards, hasNickname, Mallards]
-
A.
Mallards
chosen
Mallards is the short name for the Madison Mallards, a collegiate summer baseball team based in Madison, Wisconsin.
-
B.
Mallard
Mallard is a famous British LNER Class A4 steam locomotive that holds the world speed record for steam traction, preserved today as a historic exhibit.
-
C.
Mallard
Mallard is a common English surname most famously associated with Brently Mallard, a character in Kate Chopin’s short story “The Story of an Hour.”
-
D.
Ducks
Ducks is the nickname for the University of Oregon’s athletic teams, most prominently its college football program.
-
E.
Ducks
Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.