Triple
T6026509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan College |
E134194
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object | Jaspers |
E402745
|
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: Jaspers | Statement: [Manhattan College, athleticsNickname, Jaspers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaspers Context triple: [Manhattan College, athleticsNickname, Jaspers]
-
A.
Jaspers
chosen
Jaspers is a German surname most notably associated with the existentialist philosopher and psychiatrist Karl Jaspers.
-
B.
Jasper
Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
-
C.
Jasper
Jasper is a small resort town in Alberta, Canada, serving as a gateway and service hub for visitors to the surrounding Rocky Mountains and Jasper National Park.
-
D.
Jasper
Jasper is one of Cruella de Vil’s bumbling henchmen who helps steal Dalmatian puppies in Disney’s "One Hundred and One Dalmatians."
-
E.
Jasper
Jasper is a masculine given name of Persian origin meaning "treasurer," historically associated with one of the Three Wise Men and used in various English-speaking countries.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560cdc308190b25ca8ecb42c4e4f |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113799d648190a08516a33a5f92b7 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.