Triple
T32232782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waking Sleeping Beauty |
E823383
|
entity |
| Predicate | focusesOnFilm |
P31
|
FINISHED |
| Object | The Little Mermaid |
—
|
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: The Little Mermaid | Statement: [Waking Sleeping Beauty, focusesOnFilm, The Little Mermaid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnFilm Context triple: [Waking Sleeping Beauty, focusesOnFilm, The Little Mermaid]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
filmLengthFocus
Indicates that the relationship or action centers on the duration or running time of a film.
-
C.
theaterFocus
Indicates a relationship where an entity’s primary attention, activity, or specialization is centered on theater or theatrical performance.
-
D.
filmSelection
Indicates the act or result of choosing a particular film from a set of available options.
-
E.
entertainmentFocus
Indicates that one entity is primarily concerned with, directed toward, or centered on providing or engaging in entertainment for another entity or context.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 12:39 a.m.