Triple
T14047500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Moonlight Black Boys Look Blue |
E337995
|
entity |
| Predicate | notableAdaptationAward |
P92470
|
FINISHED |
| Object | Academy Award for Best Picture (via Moonlight) |
—
|
LITERAL 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: Academy Award for Best Picture (via Moonlight) | Statement: [In Moonlight Black Boys Look Blue, notableAdaptationAward, Academy Award for Best Picture (via Moonlight)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAdaptationAward Context triple: [In Moonlight Black Boys Look Blue, notableAdaptationAward, Academy Award for Best Picture (via Moonlight)]
-
A.
notableAdaptationPerformance
Indicates that an entity is recognized for a significant performance in an adaptation of another work.
-
B.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
C.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
D.
adaptationAward
chosen
Indicates that an entity has received an award specifically for its adaptation of another work.
-
E.
notableGenreAdaptation
Indicates that a work is a significant adaptation of another work into a different genre.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.