Triple
T3496011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs Cycled |
E73851
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sassafrass |
E114523
|
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: Sassafrass | Statement: [Songs Cycled, hasPart, Sassafrass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sassafrass Context triple: [Songs Cycled, hasPart, Sassafrass]
-
A.
Sassafras Roots
chosen
"Sassafras Roots" is a song by the American punk rock band Green Day from their 1994 breakthrough album *Dookie*.
-
B.
Roselle
Roselle is a suburban village in northeastern Illinois, United States, located in the Chicago metropolitan area.
-
C.
Rhus
Rhus is a genus of flowering plants commonly known as sumacs, which includes shrubs and small trees often recognized for their compound leaves and clusters of red or white berries.
-
D.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
E.
Magnolia
Magnolia is a genus of flowering trees and shrubs known for their large, fragrant blossoms and broad, glossy leaves, widely associated with the American South.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373cce4008190beb010b171bc4940 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.