Triple
T4357521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Lin |
E98585
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Wave Field |
E432819
|
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: Wave Field | Statement: [Maya Lin, designed, Wave Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wave Field Context triple: [Maya Lin, designed, Wave Field]
-
A.
Wave Field
chosen
Wave Field is a large-scale earthwork sculpture by artist Maya Lin that evokes the motion of ocean waves through undulating landforms.
-
B.
Wave
Wave is a 1979 studio album by American musician Patti Smith that blends punk, rock, and poetic lyricism and marked her last release before a long hiatus from recording.
-
C.
Waves
"Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
-
D.
Waves
"Waves" is a smooth, atmospheric R&B song by Miguel that showcases his sensual vocals and genre-blending production.
-
E.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e501671c8190bf8a9998f46a9f3b |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:16 p.m.