Triple
T27809526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Moments with Mr. Lincoln (Disneyland) |
E702479
|
entity |
| Predicate | showElements |
P138713
|
FINISHED |
| Object | main stage performance |
—
|
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: main stage performance | Statement: [Great Moments with Mr. Lincoln (Disneyland), showElements, main stage performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showElements Context triple: [Great Moments with Mr. Lincoln (Disneyland), showElements, main stage performance]
-
A.
showElement
Indicates that one entity causes a specific element or component to be displayed or made visible to another entity or within a given context.
-
B.
typicalShowElements
chosen
Indicates that certain elements are characteristically or commonly present in a particular show or type of show.
-
C.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
D.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
E.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:41 p.m.