Triple
T32060331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dave Chappelle Show Tour (stand-up) |
E818729
|
entity |
| Predicate | hasCountryOfPerformance |
P177633
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [The Dave Chappelle Show Tour (stand-up), hasCountryOfPerformance, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOfPerformance Context triple: [The Dave Chappelle Show Tour (stand-up), hasCountryOfPerformance, United States]
-
A.
countryOfPopularPerformance
Indicates the country where a performance, work, or activity is especially popular or widely received.
-
B.
hostCountryPerformer
Indicates that a country serves as the host location for a given performer’s activities or performance.
-
C.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
-
D.
hostCountryEntryPerformer
chosen
Indicates that a country serves as the host location where a performer enters or participates in an event or activity.
-
E.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
- F. None of above.
Provenance (4 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0357f9670081908a7ba1cd46a0b46a |
completed | May 12, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f0108b4dc8190aa4e00f80ce67d98 |
completed | June 14, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_6a03575e3258819093303248d1569f95 |
completed | May 12, 2026, 4:37 p.m. |
Created at: May 1, 2026, 12:21 a.m.