Triple
T22946469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th Academy Awards |
E569886
|
entity |
| Predicate | bestSongFilm |
P10680
|
FINISHED |
| Object | Waikiki Wedding |
—
|
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: Waikiki Wedding | Statement: [10th Academy Awards, bestSongFilm, Waikiki Wedding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waikiki Wedding Context triple: [10th Academy Awards, bestSongFilm, Waikiki Wedding]
-
A.
Waikiki Wedding
chosen
Waikiki Wedding is a 1937 musical romantic comedy film starring Bing Crosby, set in Hawaii and known for its lighthearted plot and popular songs.
-
B.
The Wedding Chapel
The Wedding Chapel is a film featuring actor Christopher Candy in a notable role.
-
C.
White Wedding
"White Wedding" is a 1982 rock song by Billy Idol, known for its darkly romantic lyrics, distinctive guitar riff, and iconic MTV-era music video.
-
D.
Wedding Day
"Wedding Day" is a notable poem by Harlem Renaissance writer and artist Gwendolyn Bennett, reflecting her lyrical style and exploration of Black identity and emotional experience.
-
E.
Wedding Day
"Wedding Day" is a song by Tori Amos from her 2014 studio album *Unrepentant Geraldines*.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819d2d7881909e6390717ff79df0 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.