Triple
T5081627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She (Green Day song) |
E114522
|
entity |
| Predicate | followsOnAlbum |
P25512
|
FINISHED |
| Object | Sassafras Roots |
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: Sassafras Roots | Statement: [She (Green Day song), followsOnAlbum, Sassafras Roots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sassafras Roots Context triple: [She (Green Day song), followsOnAlbum, Sassafras Roots]
-
A.
Sassafras Roots
chosen
"Sassafras Roots" is a song by the American punk rock band Green Day from their 1994 breakthrough album *Dookie*.
-
B.
Sauncho Smilax
Sauncho Smilax is a quirky, maritime-obsessed lawyer who serves as a friend and legal advisor to private investigator Doc Sportello in Thomas Pynchon's novel "Inherent Vice."
-
C.
Roselle
Roselle is a suburban village in northeastern Illinois, United States, located in the Chicago metropolitan area.
-
D.
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.
-
E.
Red Sanders
Red Sanders was a prominent American college football coach best known for leading the UCLA Bruins to national prominence in the 1940s and 1950s.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f9d9848190919aad6cfe14f1cf |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb135912c81909dd32d21b604e1b1 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.