Triple
T26894917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Dark Age |
E677873
|
entity |
| Predicate | hasApproximateStartFilm |
P83325
|
FINISHED |
| Object | The Aristocats |
—
|
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 Aristocats | Statement: [Disney Dark Age, hasApproximateStartFilm, The Aristocats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateStartFilm Context triple: [Disney Dark Age, hasApproximateStartFilm, The Aristocats]
-
A.
beginsWithFilm
chosen
Indicates that one entity (typically a series, collection, or sequence) starts or is initiated with a particular film as its first element.
-
B.
worksForAtStartOfFilm
Indicates that one entity is employed by or working for another entity at the beginning of the film's narrative.
-
C.
hasFirstFilm
Indicates the specific film that is recognized as the first film associated with an entity (such as a person, series, or franchise).
-
D.
filmedBefore
Indicates that one filming event occurred earlier in time than another filming event.
-
E.
statusAtStartOfFilm
Indicates the condition or situation an entity is in at the beginning of the film.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 5:47 a.m.