Triple
T35922130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 Academy Awards |
E1038913
|
entity |
| Predicate | bestOriginalSongLyricists |
P185277
|
FINISHED |
| Object | Mack Gordon |
—
|
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: Mack Gordon | Statement: [1944 Academy Awards, bestOriginalSongLyricists, Mack Gordon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalSongLyricists Context triple: [1944 Academy Awards, bestOriginalSongLyricists, Mack Gordon]
-
A.
bestOriginalSongComposer
Indicates that the subject is the composer who created the song that won the award for Best Original Song.
-
B.
bestOriginalSongWinner
Indicates that the subject is the work (typically a song or film) that won the award for Best Original Song in a given context or ceremony.
-
C.
bestOriginalSongPerformer
Indicates that the subject is the performer of the work that won the award for Best Original Song.
-
D.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
-
E.
composerOfOriginalSongs
Indicates that one entity is the composer who created the original songs associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.