Triple
T636236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin |
E16627
|
entity |
| Predicate | hasMotto |
P42
|
FINISHED |
| Object |
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
|
E79796
|
NE FINISHED |
How this triple was built (4 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: Forward | Statement: [Wisconsin, hasMotto, Forward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forward Context triple: [Wisconsin, hasMotto, Forward]
-
A.
Forward!
Forward! is the English title of the 1972 Italian political drama film "Avanti!".
-
B.
NEXT
NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
-
C.
Following
Following is Christopher Nolan's 1998 low-budget neo-noir thriller feature debut, known for its nonlinear narrative and exploration of voyeurism and identity.
-
D.
FIRST
FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
-
E.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forward Triple: [Wisconsin, hasMotto, Forward]
Generated description
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forward Target entity description: Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
A.
Forward!
Forward! is the English title of the 1972 Italian political drama film "Avanti!".
-
B.
NEXT
NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
-
C.
Following
Following is Christopher Nolan's 1998 low-budget neo-noir thriller feature debut, known for its nonlinear narrative and exploration of voyeurism and identity.
-
D.
FIRST
FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
-
E.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
- F. None of above. chosen
Provenance (5 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56ef25ffc81908517310fe0c84a68 |
completed | March 2, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_69a56f5668108190910db85f3beb5eed |
completed | March 2, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5733acb188190b4cdd12ed3a96860 |
completed | March 2, 2026, 11:23 a.m. |
Created at: March 1, 2026, 7:35 p.m.