Triple
T32166132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lepeniotis |
E821582
|
entity |
| Predicate | directedShortFilm |
P13455
|
FINISHED |
| Object | Surly Squirrel |
—
|
NE NERFINISHED |
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: Surly Squirrel | Statement: [Peter Lepeniotis, directedShortFilm, Surly Squirrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directedShortFilm Context triple: [Peter Lepeniotis, directedShortFilm, Surly Squirrel]
-
A.
shortFilmType
Indicates that the subject is classified as a particular type or category of short film.
-
B.
shortFilmComponent
Indicates that one entity is a component, segment, or part of a short film represented by the other entity.
-
C.
notableShortFilm
Indicates that the subject is a short film that is recognized as notable or significant in some meaningful way.
-
D.
directedIn
Indicates that one entity served as the director of another entity, such as a person directing a film, episode, or similar work.
-
E.
filmDirection
chosen
Indicates that one entity is the director responsible for overseeing the creative and practical aspects of producing the film represented by the other entity.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 12:33 a.m.