Triple
T23522715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Fall Tour |
E574550
|
entity |
| Predicate | setlistIncludesSong |
P33226
|
FINISHED |
| Object | China Cat Sunflower |
—
|
NE NERFINISHED |
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: China Cat Sunflower | Statement: [2015 Fall Tour, setlistIncludesSong, China Cat Sunflower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Cat Sunflower Context triple: [2015 Fall Tour, setlistIncludesSong, China Cat Sunflower]
-
A.
China Cat Sunflower
chosen
"China Cat Sunflower" is a psychedelic rock song by the Grateful Dead, known for its vivid, surreal lyrics and intricate, improvisational guitar work, often paired live with "I Know You Rider."
-
B.
Beans the Cat
Beans the Cat is a classic Warner Bros. cartoon character from the 1930s Merrie Melodies era, known for his early appearances alongside Porky Pig.
-
C.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
D.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
E.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:08 p.m.