Triple
T25556684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania XXIV |
E640589
|
entity |
| Predicate | entrancePerformance |
P44166
|
FINISHED |
| Object | John Legend performed "America the Beautiful" |
—
|
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: John Legend performed "America the Beautiful" | Statement: [WrestleMania XXIV, entrancePerformance, John Legend performed "America the Beautiful"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entrancePerformance Context triple: [WrestleMania XXIV, entrancePerformance, John Legend performed "America the Beautiful"]
-
A.
openingPerformance
Indicates the performance or event that serves as the first or inaugural showing in a series, season, or run.
-
B.
entranceVisibility
Indicates how easily or clearly an entrance can be seen or recognized from a given viewpoint or approach.
-
C.
entranceTheme
chosen
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
D.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
E.
hasAutomaticEntrance
Indicates that an entity is equipped with an entrance that operates automatically (e.g., opens or closes without manual effort).
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8ca2cf48190997cd68875571217 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:40 p.m.