Triple
T33338604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé's Super Bowl 50 halftime performance |
E853607
|
entity |
| Predicate | partOfTourCycle |
P127287
|
FINISHED |
| Object | Lemonade era |
—
|
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: Lemonade era | Statement: [Beyoncé's Super Bowl 50 halftime performance, partOfTourCycle, Lemonade era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTourCycle Context triple: [Beyoncé's Super Bowl 50 halftime performance, partOfTourCycle, Lemonade era]
-
A.
partOfCycleSection
Indicates that something constitutes a segment or component within a larger cyclical sequence or process.
-
B.
touringCycle
Indicates a cyclical sequence of tours or visits that repeatedly occur in a recurring pattern.
-
C.
tourOf
Indicates that one entity serves as a guided or organized visit through another entity, typically for exploration, education, or sightseeing.
-
D.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
E.
tourComponentOf
chosen
Indicates that something functions as a constituent part or segment of a larger tour.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffecdcbac4819093b725a7dbe0e61b |
completed | May 10, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69ffec3633288190adbbd84e277708dc |
completed | May 10, 2026, 2:23 a.m. |
Created at: May 1, 2026, 1:34 a.m.