Triple
T21875553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grumpy |
E540134
|
entity |
| Predicate | eraOfFictionalWork |
P129068
|
FINISHED |
| Object | 1920s American cinema |
—
|
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: 1920s American cinema | Statement: [Grumpy, eraOfFictionalWork, 1920s American cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfFictionalWork Context triple: [Grumpy, eraOfFictionalWork, 1920s American cinema]
-
A.
eraOfAuthor
Indicates the historical time period or era during which an author lived or produced their work.
-
B.
fictionalUniverseAuthor
Indicates that an author is the creator or primary writer responsible for a given fictional universe.
-
C.
eraWithinFiction
chosen
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
D.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
E.
genreOfWorkHeNarrates
Indicates the genre or type of work that he narrates.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:02 p.m.