Triple
T13703370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy & Lisa (album) |
E328573
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Waterfall |
E1055350
|
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: Waterfall | Statement: [Wendy & Lisa (album), notableSingle, Waterfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterfall Context triple: [Wendy & Lisa (album), notableSingle, Waterfall]
-
A.
Waterfall
Waterfall is a modern, upscale mixed-use suburb in Midrand, South Africa, known for its residential estates, business parks, and retail developments.
-
B.
Waterfall
"Waterfall" is a melodic, guitar-driven song by English rock band The Stone Roses, widely regarded as one of the standout tracks from their influential 1989 debut album.
-
C.
Waterfall
"Waterfall" is a famous lithograph print by M. C. Escher that depicts an impossible perpetual-motion watercourse feeding a paradoxical waterfall.
-
D.
Waterfall
chosen
"Waterfall" is a 1987 pop-rock song by the duo Wendy & Lisa, known for its melodic hooks and atmospheric production following their tenure with Prince and The Revolution.
-
E.
Wonderfalls
Wonderfalls is a short-lived cult-favorite American dramedy TV series about a disaffected gift-shop clerk who begins receiving cryptic life-advice from talking animal figurines.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.