Triple
T26894918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Dark Age |
E677873
|
entity |
| Predicate | hasApproximateEndFilm |
P8204
|
FINISHED |
| Object | Oliver & Company |
—
|
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: Oliver & Company | Statement: [Disney Dark Age, hasApproximateEndFilm, Oliver & Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateEndFilm Context triple: [Disney Dark Age, hasApproximateEndFilm, Oliver & Company]
-
A.
hasApproximateEnd
chosen
Indicates that an entity’s end point, time, or boundary is known only approximately rather than precisely.
-
B.
hasPlannedEnding
Indicates that an entity has a predetermined or intentionally designed conclusion or termination point.
-
C.
endedWithFilm
Indicates that an event, series, or process concluded with the showing, release, or occurrence of a particular film.
-
D.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
-
E.
filmingEnded
Indicates that the process of filming or recording an audiovisual work has been completed.
- 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_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 5:47 a.m.