Triple
T17514473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex Therapy |
E426532
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Surf Club |
—
|
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: Surf Club | Statement: [Sex Therapy, producer, Surf Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surf Club Context triple: [Sex Therapy, producer, Surf Club]
-
A.
Surf Club
chosen
Surf Club is a hip-hop production collective known for its work with prominent rap and R&B artists, featuring producers such as Hit-Boy.
-
B.
Surf City
Surf City is a popular nickname for Santa Cruz, California, highlighting its reputation as a premier West Coast surfing destination.
-
C.
Surf City
"Surf City" is a classic 1963 surf rock song by Jan and Dean, celebrated for its catchy harmonies and car-and-beach youth culture themes.
-
D.
Surf Beach
Surf Beach is a popular coastal swimming and surfing spot in the seaside town of Kiama, New South Wales, Australia.
-
E.
Surf City USA
Surf City USA is the popular coastal moniker for Huntington Beach, California, celebrated for its consistent surf, sandy beaches, and vibrant surf culture.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.