Triple
T35922111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 Academy Awards |
E1038913
|
entity |
| Predicate | bestOriginalStory |
P37205
|
FINISHED |
| Object | The Human Comedy |
—
|
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: The Human Comedy | Statement: [1944 Academy Awards, bestOriginalStory, The Human Comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalStory Context triple: [1944 Academy Awards, bestOriginalStory, The Human Comedy]
-
A.
bestWritingOriginalStoryWinner
chosen
Indicates that the subject is the winner of an award or recognition for best writing of an original story.
-
B.
bestOriginalScoreWinner
Indicates that an entity is the winner of an award for the best original musical score associated with another entity (such as a film or production).
-
C.
hasOriginalStory
Indicates that one entity serves as the original narrative source or story upon which the other entity is based or derived.
-
D.
shortStoryOriginalLanguage
Indicates the original language in which a short story was first written or published.
-
E.
originalStories
Indicates that one entity is the creator or source of the original stories associated with another entity.
- F. None of above.
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.