Triple
T6154650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo Walleye |
E137287
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Walleye |
E171141
|
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: Walleye | Statement: [Toledo Walleye, hasNickname, Walleye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walleye Context triple: [Toledo Walleye, hasNickname, Walleye]
-
A.
Walleye
chosen
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
B.
walleye
Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
-
C.
Muskie
Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
-
D.
northern pike
The northern pike is a large, predatory freshwater fish known for its elongated body, sharp teeth, and ambush-hunting behavior in lakes and rivers across the Northern Hemisphere.
-
E.
Trout
Trout is a common surname of English and German origin, shared by various individuals and families.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418195d8819092743f323430b9a8 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:17 p.m.