Triple
T37974188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost Explorer |
E947375
|
entity |
| Predicate | hasCinematicForm |
P89781
|
FINISHED |
| Object | short narrative |
—
|
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: short narrative | Statement: [The Lost Explorer, hasCinematicForm, short narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCinematicForm Context triple: [The Lost Explorer, hasCinematicForm, short narrative]
-
A.
hasCinematicFeature
Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
-
B.
cinematicForm
chosen
Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
-
C.
hasTheatricalForm
Indicates that something is associated with or presented in a particular theatrical form or style.
-
D.
hasCinematicShort
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
E.
hasCinematicMovement
Indicates that an entity exhibits or involves a style of movement characteristic of cinematic techniques, such as dynamic camera-like motion or film-inspired transitions.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:20 p.m.