Triple
T21416433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smiling Lieutenant |
E528307
|
entity |
| Predicate | hasDirectorialStyle |
P70207
|
FINISHED |
| Object | sophisticated humor |
—
|
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: sophisticated humor | Statement: [The Smiling Lieutenant, hasDirectorialStyle, sophisticated humor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorialStyle Context triple: [The Smiling Lieutenant, hasDirectorialStyle, sophisticated humor]
-
A.
directorialStyle
Indicates the characteristic manner or approach a director consistently uses in creating and shaping their works.
-
B.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
C.
directedInStyle
chosen
Indicates that a work was directed in a particular stylistic manner or according to a specific directing style.
-
D.
hasTheatricalStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular theatrical style associated with another entity.
-
E.
hasScreenplayStyle
Indicates that an entity is associated with or characterized by a particular style or manner of screenplay writing.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b205d17c8190b9b6b5708658f9be |
completed | April 22, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:46 p.m.