Triple
T15207751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something Came to Me |
E363432
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Surf |
E73398
|
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: Surf | Statement: [Something Came to Me, album, Surf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surf Context triple: [Something Came to Me, album, Surf]
-
A.
Surf
chosen
Surf is a critically acclaimed 2015 collaborative hip-hop and jazz-influenced album by Donnie Trumpet & The Social Experiment, prominently featuring Chance the Rapper.
-
B.
Surf
Surf is a popular laundry detergent brand owned by the multinational consumer goods company Unilever, known for its fragranced washing powders and liquids.
-
C.
Surf
Surf is a musical artist known for creating the track "Rememory."
-
D.
Ride the Wild Surf
Ride the Wild Surf is a 1964 American surf film known for its big-wave surfing sequences and starring Tab Hunter, Fabian, and Shelley Fabares.
-
E.
Surf Line
Surf Line is a coastal rail corridor in Southern California that carries passenger trains along the Pacific shoreline between major cities such as Los Angeles and San Diego.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4542d4308190bebf13dff1ebfe08 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:11 a.m.