Triple
T10030782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Eyes |
E204845
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cassadaga |
E444174
|
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: Cassadaga | Statement: [Bright Eyes, notableWork, Cassadaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassadaga Context triple: [Bright Eyes, notableWork, Cassadaga]
-
A.
Cassadaga
Cassadaga is a small unincorporated community in Florida widely known as a center for Spiritualism and psychic mediums.
-
B.
Nashwaaksis
Nashwaaksis is a residential neighbourhood in the city of Fredericton, New Brunswick, Canada.
-
C.
Talkeetna
Talkeetna is a small Alaskan town known as a gateway and staging point for climbers and tourists visiting Denali and the surrounding wilderness.
-
D.
Cassadaga Lakes
chosen
Cassadaga Lakes is a small group of interconnected glacial lakes in western New York known for recreational activities like fishing, boating, and lakeside camping.
-
E.
Conetoe
Conetoe is a small rural town located in Edgecombe County in eastern North Carolina, United States.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde7ec088190845656cc2529c771 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2823e63488190bef7633b1a755df8 |
completed | April 5, 2026, 3:39 p.m. |
Created at: March 30, 2026, 8:54 p.m.