Triple
T9485560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Dream |
E228750
|
entity |
| Predicate | usedInSection |
P64119
|
FINISHED |
| Object | finale of The American Adventure |
—
|
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: finale of The American Adventure | Statement: [Golden Dream, usedInSection, finale of The American Adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInSection Context triple: [Golden Dream, usedInSection, finale of The American Adventure]
-
A.
operatorInSection
Indicates that an operator is assigned to, works within, or is responsible for a specific section.
-
B.
openedInSection
Indicates that something was opened or initiated within a specific section or subsection of a larger structure or context.
-
C.
isOnSectionOf
Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
-
D.
appearsInSectionOfWork
chosen
Indicates that one entity is contained within or shows up in a specific section or part of a larger work.
-
E.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804fb2b4819084c7f5a842dbe5a6 |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.