Triple
T31686863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Director for "Come Back, Little Sheba" |
E808683
|
entity |
| Predicate | notableSourceMaterialGenre |
P61875
|
FINISHED |
| Object | American theatre |
—
|
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: American theatre | Statement: [Academy Award for Best Director for "Come Back, Little Sheba", notableSourceMaterialGenre, American theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSourceMaterialGenre Context triple: [Academy Award for Best Director for "Come Back, Little Sheba", notableSourceMaterialGenre, American theatre]
-
A.
basedOnSourceMaterialForNotableWork
Indicates that one entity serves as the source material or inspiration for another entity that is a notable work.
-
B.
notableCoverGenre
Indicates that one entity is a genre in which another entity is notably covered, adapted, or reinterpreted.
-
C.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
D.
hasSourceMaterialGenre
chosen
Indicates that the genre of the source material from which something is derived is specified.
-
E.
notableCollectionGenre
Indicates that a collection is recognized as notable specifically within a given 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:07 p.m.