Triple
T20031475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surf City |
E497137
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jan and Dean |
—
|
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: Jan and Dean | Statement: [Surf City, performer, Jan and Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan and Dean Context triple: [Surf City, performer, Jan and Dean]
-
A.
Jan & Dean
chosen
Jan & Dean were a popular American rock and roll and surf music duo of the late 1950s and 1960s, best known for hits like "Surf City" and "Dead Man's Curve."
-
B.
Frankie Avalon
Frankie Avalon is an American actor and teen idol singer best known for his 1950s–60s pop hits and roles in musical and beach party films.
-
C.
Bill Haley & His Comets
Bill Haley & His Comets was a pioneering American rock and roll band best known for hits like "Rock Around the Clock" that helped popularize the genre in the 1950s.
-
D.
Gil Green
Gil Green is an American music video director known for his work with prominent hip-hop and R&B artists.
-
E.
Bill Haley
Bill Haley was an American rock and roll musician and bandleader best known for pioneering the genre in the 1950s with hits like "Rock Around the Clock."
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66292a80c81908adf95766b3b4ac4 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.